Prepare for and practice interview questions from Torc Robotics.

Torc Robotics Interview Questions

Torc Robotics Interview Guides

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

In an A/B test, how can you check if assignment to the various buckets was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

Torc Robotics Salaries by Position

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. <a>Now a part of the Daimler family</a>, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet the Group: The SDK Group is comprised of three teams; Inference Engine, Middleware, and the Software Images Team (SWIM Team). The Inference Engine team delivers a cutting-edge software SDK designed to fine-tune deep learning frameworks for embedded chips. They’re dedicated to optimizing performance, ensuring that their solutions drive the maximum efficiency of AI applications on embedded systems. The Middleware team creates a powerful framework that allows moving the virtual driver data across multiple ECUs. Therefore, they act as the glue between the vehicle hardware and the autonomous driver software. This covers Ethernet-based low bandwidth applications as well as PCIe-based high bandwidth applications. The Software Integration - Software Images (SWIM) team creates novel solutions for getting Application and Operating System Images to the vehicle. This covers the image building process itself, as well as the creation of deployment and data recording tools. Every day, Engineers use their tools to get the trucks loaded up with the latest software and out onto the road. What you’ll do: <ul> <li>As the Group Technical Lead, you will cascade your expertise and provide technical guidance to three separate teams within the SDK group (Inference Engine, Middleware, and Software Images Team (SWIM Team)).</li> <li>You will be responsible for software development, including but not limited to, software design, algorithm development, implementation, unit testing, vehicle testing, and deployed software maintenance while following quality, build, deploy and test processes, safety and process requirements and guidelines.</li> <li>Responsible for executing full software development lifecycle activities using primarily C++ skills in a Linux development environment using Lean-Agile methodologies.</li> <li>Assist in root cause analysis of issues found in testing and process automation steps.</li> <li>Support the team in identifying daily assignments and reporting progress at daily stand-ups.</li> <li>Support software and system-level test plans and verification strategies to support ongoing feature development and bug fixes.</li> <li>Designing and implementing systems responsible for data acquisition and analysis from remote vehicles in the field.</li> <li>Responsible for ensuring software updates do not regress the software performance by utilizing simulation software and scenarios.</li> <li>Passion for autonomy technology product area.</li> <li>Communicate well in a team environment being able to clearly articulate progress, design expectations, and support needed to help the team accomplish goals.</li> </ul> What you’ll need to succeed: <ul> <li>Bachelor’s degree in Computer Science, Computer Engineering, or engineering equivalent and 8+ years of experience OR a Master’s Degree and 5+ years of experience.</li> <li>5+ years of experience with the development of Embedded Systems.</li> <li>Strong foundation in software programming and best practices with C++ in a Linux environment.</li> <li>Experience with automotive safety and standards (e.g., ISO26262).</li> <li>Ability to lead and drive technical direction across multiple teams within a group.</li> <li>Ability to travel periodically including to Montreal, Canada and Stuttgart, Germany.</li> </ul> Bonus Points! <ul> <li>Experience with ROS2 desired.</li> <li>Experience with the NVIDIA Orin desired.</li> <li>Experience with PCIe (NVIDIA) desired.</li> <li>Experience with NVIDIA DriveOS desired.</li> <li>Experience with CUDA desired.</li> </ul> Perks of Being a Full-time Torc’r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team-focused. Torc offers: <ul> <li>A competitive compensation package that includes a bonus component and stock options.</li> <li>100% paid medical, dental, and vision premiums for full-time employees.</li> <li>401K plan with a 6% employer match.</li> <li>Flexibility in schedule and generous paid vacation (available immediately after start date).</li> <li>Company-wide holiday office closures.</li> <li>AD+D and Life Insurance.</li> </ul> Hiring Range for Job Opening US Pay Range $160,800 — $193,000 USD At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
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About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. What You'll Do Torc's Map Enablement Team is looking for a Software Engineer 2 to help deliver a ML Ops system that can scale with Torc's commercial expansion. A strong technical foundation in delivering data processing pipelines and APIs is important for this role. This individual will collaborate with engineering teams that use ML Enablement's software, creating tailored solutions and turning feedback into features. <ul><li>Uphold a culture of collaboration, transparency, creativity, inclusion, and data-driven decisions</li></ul> <ul><li>Participate in design and code reviews</li></ul> <ul><li>Promote a culture of operational excellence by implementing effective testing and monitoring for ML Enablement's services</li></ul> <ul><li>Participate in the on-call rotation to support the health of our services</li></ul> <ul><li>Participate in project planning and collaborate with technical product managers on the priorities and customer expectations of the proposed software solutions</li></ul> What You'll Need <ul><li>Bachelor's degree in computer science, computer engineering or related & 3+ years of professional experience OR Master's Degree with 1-3+ years of relevant experience</li></ul> <ul><li>Good knowledge of at least one programming language (?++, Python, Scala, Java), Python preferred.</li></ul> <ul><li>Experience with AWS services (S3, Lambda, Step Functions, IAM, Event Bridge, Glue, Athena) or any other cloud platform.</li></ul> <ul><li>Experience working with high throughput data processing pipelines.</li></ul> <ul><li>Experience designing and implementing APIs for external or internal use.</li></ul> <ul><li>Experience in source control applications and agile workflows such as GITHUB and JIRA.</li></ul> Bonus Points <ul><li>Previous experience with ML Ops workflows including dataset management, model training pipelines, and model registries.</li></ul> <ul><li>Experience in the autonomous vehicle space.</li></ul> Hiring Range for Job Opening US Pay Range $139,000-$166,800 USD At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. What You'll Do Torc's Map Enablement Team is looking for a Software Engineer 2 to help deliver a ML Ops system that can scale with Torc's commercial expansion. A strong technical foundation in delivering data processing pipelines and APIs is important for this role. This individual will collaborate with engineering teams that use ML Enablement's software, creating tailored solutions and turning feedback into features. <ul> <li>Uphold a culture of collaboration, transparency, creativity, inclusion, and data-driven decisions </li></ul><ul><li>Participate in design and code reviews </li></ul><ul><li>Promote a culture of operational excellence by implementing effective testing and monitoring for ML Enablement's services </li></ul><ul><li>Participate in the on-call rotation to support the health of our services </li></ul><ul><li>Participate in project planning and collaborate with technical product managers on the priorities and customer expectations of the proposed software solutions </li></ul>What You'll Need<ul><li>Bachelor's degree in computer science, computer engineering or related & 3+ years of professional experience OR Master's Degree with 1-3+ years of relevant experience </li></ul><ul><li>Good knowledge of at least one programming language (?++, Python, Scala, Java), Python preferred. </li></ul><ul><li>Experience with AWS services (S3, Lambda, Step Functions, IAM, Event Bridge, Glue, Athena) or any other cloud platform. </li></ul><ul><li>Experience working with high throughput data processing pipelines. </li></ul><ul><li>Experience designing and implementing APIs for external or internal use. </li></ul><ul><li>Experience in source control applications and agile workflows such as GITHUB and JIRA. </li></ul> Bonus Points<ul><li>Previous experience with ML Ops workflows including dataset management, model training pipelines, and model registries. </li></ul><ul><li>Experience in the autonomous vehicle space. </li></ul> Hiring Range for Job Opening US Pay Range $139,000-$166,800 USD At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Summary: The Senior Machine Learning Engineer will shape the future of our data for autonomous trucking by contributing to our data driven perception simulation pipeline. In this role, you will be responsible for applying state of the art approaches for Neural Rendering in a scalable production setting, contribute to our data workflow and communicate with stakeholders such as machine learning and testing teams which rely on data from our simulation. What you'll be doing:
You will shape the future of our data for autonomous trucking by contributing to our data driven perception simulation pipeline. In this role, you will be responsible for applying state of the art approaches for Neural Rendering in a scalable production setting, contribute to our data workflow and communicate with stakeholders such as machine learning and testing teams which rely on data from our simulation.
Advance modern simulation techniques by using state-of-the art ML approaches and computer vision techniques
Monitor, evaluate, and integrate the latest research advances in Neural Rendering and related domains to a production environment.
Deliver key contributions to design, architecture and implementation of a neural rendering framework that allows to scale perception simulation
Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks
Develop sensor models for camera, LIDAR and RADAR and apply them to a Neural Rendering setting
What you need to succeed: BS, MS or PhD in computer vision, machine learning, computer science, computer engineering or related fields
5+ years of software development experience or a PhD in machine learning, Computer Vision, or related field
Strong experience in Python and science libraries like Numpy, SciPy, Pandas and Matplotlib
Experience with one or more deep learning framework such as PyTorch or TensorFlow
Expert knowledge of the principles, algorithms and tools of applied Deep Learning, including model training strategies, data processing, cost functions, quality metrics, etc.
Experience with 3D Computer Vision or rendering algorithms
Experience in applying machine learning towards rendering, 3D computer vision or related field, preferably multiple projects in these core areas
Track record of successfully building and shipping products or open-source projects
Bonus Points: Publication record in Computer Vision, Computer Graphics and Machine Learning conferences (e.g. SIGGRAPH, CVPR, NeurIPS, ICCV, ICLR, ICML ...) is a plus
Kanban, Scrum or Scaled Agile development
Experience developing sensor models, 3D simulation environments, rendering and ray tracing in a perception simulation environment (i.e., game engine or other similar simulation environment)
Software and system troubleshooting and problem-solving with specific focus on system-level analysis, fault isolation and identification
Technical leadership experience
Experience with C++, C#, ROS for autonomous SW development and simulation tooling
Perks of Being a Full-time Torc'r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: A competitive compensation package that includes a bonus component and stock options
100% paid medical, dental, and vision premiums for full-time employees
401K plan with a 6% employer match
Flexibility in schedule and generous paid vacation (available immediately after start date)
Company-wide holiday office closures
AD+D and Life Insurance Hiring Range for Job Opening US Pay Range $177,300-$212,800 USD At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet the Team: At the forefront of autonomous driving, we have gathered vast amounts of valuable sensor data that provide a deep insight into various driving environments and scenarios. Within the AI Foundation Department our strategic response is to integrate foundational machine learning techniques to harness its full potential and drive its capabilities further ahead to adhere to future needs. We are searching for a Senior Machine Learning Engineer with Reinforcement Learning or strong control background deploying our next-generation modular and differentiable AV stack, bridging the gap between traditional model-based modularity and modern deep learning practices. What you'll do :
Design and deployment of our innovative modular and differentiable AV stack, focusing on prediction, planning, and control
Collaborate closely with our research and development teams, ensuring the seamless incorporation of model-based planning and control algorithms with advancements in differentiable optimization
Drive the continuous enhancement of our AV architectures, championing the harmony between modularity and end-to-end neural networks
Spearhead the evaluation process of our AV stack, ensuring marked improvements in both open-loop and closed-loop planning metrics
Advocate for and ensure the interpretability, reusability, and efficiency of our AV solutions, while maximizing the capabilities of deep learning and differentiable optimization
What you'll need to Succeed: MS, or PhD in Machine Learning, Computer Science, Robotics, or related fields with at least the years working experience or equivalent
Comprehensive understanding of modular AV system components combined with proficiency in end-to-end neural network designs
Hands-on experience with differentiable optimization and its applications in deep learning models
Demonstrable history of deploying neural network architectures for practical applications, with a preference for those within the autonomous vehicles domain
Expertise in Python and familiarity with major deep learning frameworks like PyTorch or TensorFlow
Bonus Points! Scholarly publications related to differentiable optimization, neural network architectures, or autonomous vehicle systems in high tier conferences as CVPR, ICCV, ICRA, IROS, NeurIPS or comparable
Prior experience in developing or collaborating on AV stacks, especially in prediction, planning, and control sectors
Knowledge of contemporary strategies for testing and deploying deep learning models in real-world settings
Perks of Being a Full-time Torc'r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: A competitive compensation package that includes a bonus component and stock options
100% paid medical, dental, and vision premiums for full-time employees
401K plan with a 6% employer match
Flexibility in schedule and generous paid vacation (available immediately after start date)
Company-wide holiday office closures
AD+D and Life Insurance Hiring Range for Job Opening US Pay Range $177,300-$212,800 USD At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet the team: As part of an organization at the forefront of autonomous driving, we develop trajectory prediction & planning networks that enable the truck to make data-driven decisions to the scene around it. The Learned Vehicle Intent team works in partnership with Perception and Control teams to plan out the safest possible trajectory given the traffic, weather and environment around the truck. What you'll do: Design, develop, optimize and deploy machine learning models for trajectory planning in our autonomous trucks. The Senior ML Engineer will work closely with the rest of the machine Learning teams and the Vehicle Intent Department to advance our capabilities in time-series forecasting for autonomous driving. The candidate will participate in all aspects of the software lifecycle, from defining the requirements, planning and designing the model, to implementing and testing, and finally, deployment and maintenance.
Produce production deployed models and software
Contribute to the research, development, and improvement of machine learning models for end-to-end prediction, and planning
Collaborate with data scientists and other engineers to evaluate and improve the efficacy of these models
Develop software that is robust, efficient, and maintainable, always ensuring software quality
Participate in team meetings to share progress, collaborate on new ideas, and address any challenges
Stay updated on the latest developments in machine learning and autonomous driving. Evaluate how these can be utilized in our system
Work closely with the Vehicle Intent, Sensing and Understanding, and other autonomy teams to align on objectives and deliverables
Participate in technical discussions, brainstorming sessions, and other team meetings
Develop and maintain thorough documentation for all developed models and associated code
Provide mentorship and technical guidance to junior team members
What you'll need to succeed: Master's degree in computer science, computer engineering, or engineering equivalent and 3+ years of relevant experience
Deep understanding of machine learning frameworks such as TensorFlow or PyTorch
Experience involving machine learning or related fields in a production environment
Hands-on experience with learning-based prediction, planning and control
Experience in autonomous driving systems, sensor fusion, and perception is a plus
Adept communication skills, able to articulate complex concepts to diverse audiences
Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment
Advanced knowledge contributing to engineering and process creation and maintenance
Excellent time management and organizational skills to plan, develop, and prioritize effectively
May require occasional travel to other sites
Continuous technical education and training is required to stay updated in the field of machine learning and autonomous driving.
Ability to be flexible and may work extended hours/weekends/evenings when project demands
Ability to work and collaborate across locations over different time zones
Bonus Points! Doctorate Degree in Computer Science, Computer Engineering, Robotics, or equivalent with 2+ years relevant experience
Perks of Being a Full-time Torc'r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: A competitive compensation package that includes a bonus component and stock options
100% paid medical, dental, and vision premiums for full-time employees
401K plan with a 6% employer match
Flexibility in schedule and generous paid vacation (available immediately after start date)
Company-wide holiday office closures
AD+D and Life Insurance Hiring Range for Job Opening US Pay Range $177,300-$212,800 USD At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

About the Company

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

Summary:

The Senior Machine Learning Engineer will shape the future of our data for autonomous trucking by contributing to our data driven perception simulation pipeline. In this role, you will be responsible for applying state of the art approaches for Neural Rendering in a scalable production setting, contribute to our data workflow and communicate with stakeholders such as machine learning and testing teams which rely on data from our simulation.

What you'll be doing:
You will shape the future of our data for autonomous trucking by contributing to our data driven perception simulation pipeline. In this role, you will be responsible for applying state of the art approaches for Neural Rendering in a scalable production setting, contribute to our data workflow and communicate with stakeholders such as machine learning and testing teams which rely on data from our simulation.
Advance modern simulation techniques by using state-of-the art ML approaches and computer vision techniques
Monitor, evaluate, and integrate the latest research advances in Neural Rendering and related domains to a production environment.
Deliver key contributions to design, architecture and implementation of a neural rendering framework that allows to scale perception simulation
Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks
Develop sensor models for camera, LIDAR and RADAR and apply them to a Neural Rendering setting
What you need to succeed:     BS, MS or PhD in computer vision, machine learning, computer science, computer engineering or related fields
5+ years of software development experience or a PhD in machine learning, Computer Vision, or related field
Strong experience in Python and science libraries like Numpy, SciPy, Pandas and Matplotlib
Experience with one or more deep learning framework such as PyTorch or TensorFlow
Expert knowledge of the principles, algorithms and tools of applied Deep Learning, including model training strategies, data processing, cost functions, quality metrics, etc.
Experience with 3D Computer Vision or rendering algorithms
Experience in applying machine learning towards rendering, 3D computer vision or related field, preferably multiple projects in these core areas
Track record of successfully building and shipping products or open-source projects
Bonus Points:     Publication record in Computer Vision, Computer Graphics and Machine Learning conferences (e.g. SIGGRAPH, CVPR, NeurIPS, ICCV, ICLR, ICML ...) is a plus
Kanban, Scrum or Scaled Agile development
Experience developing sensor models, 3D simulation environments, rendering and ray tracing in a perception simulation environment (i.e., game engine or other similar simulation environment)
Software and system troubleshooting and problem-solving with specific focus on system-level analysis, fault isolation and identification
Technical leadership experience
Experience with C++, C#, ROS for autonomous SW development and simulation tooling
Perks of Being a Full-time Torc'r

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:   A competitive compensation package that includes a bonus component and stock options
100% paid medical, dental, and vision premiums for full-time employees
401K plan with a 6% employer match
Flexibility in schedule and generous paid vacation (available immediately after start date)
Company-wide holiday office closures
AD+D and Life Insurance

Hiring Range for Job Opening

US Pay Range

$177,300-$212,800 USD

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.

Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet the Team: At the forefront of autonomous driving, we have gathered vast amounts of valuable sensor data that provide a deep insight into various driving environments and scenarios. Within the AI Foundation Department our strategic response is to integrate foundational machine learning techniques to harness its full potential and drive its capabilities further ahead to adhere to future needs. We are searching for a Senior Machine Learning Engineer with Reinforcement Learning or strong control background deploying our next-generation modular and differentiable AV stack, bridging the gap between traditional model-based modularity and modern deep learning practices. What you'll do: <ul><li>Design and deployment of our innovative modular and differentiable AV stack, focusing on prediction, planning, and control </li><li>Collaborate closely with our research and development teams, ensuring the seamless incorporation of model-based planning and control algorithms with advancements in differentiable optimization </li><li>Drive the continuous enhancement of our AV architectures, championing the harmony between modularity and end-to-end neural networks </li><li>Spearhead the evaluation process of our AV stack, ensuring marked improvements in both open-loop and closed-loop planning metrics </li><li>Advocate for and ensure the interpretability, reusability, and efficiency of our AV solutions, while maximizing the capabilities of deep learning and differentiable optimization </li></ul>What you'll need to Succeed: <ul><li>MS, or PhD in Machine Learning, Computer Science, Robotics, or related fields with at least the years working experience or equivalent </li><li>Comprehensive understanding of modular AV system components combined with proficiency in end-to-end neural network designs </li><li>Hands-on experience with differentiable optimization and its applications in deep learning models </li><li>Demonstrable history of deploying neural network architectures for practical applications, with a preference for those within the autonomous vehicles domain </li><li>Expertise in Python and familiarity with major deep learning frameworks like PyTorch or TensorFlow </li></ul>Bonus Points! <ul><li>Scholarly publications related to differentiable optimization, neural network architectures, or autonomous vehicle systems in high tier conferences as CVPR, ICCV, ICRA, IROS, NeurIPS or comparable </li><li>Prior experience in developing or collaborating on AV stacks, especially in prediction, planning, and control sectors </li><li>Knowledge of contemporary strategies for testing and deploying deep learning models in real-world settings </li></ul>Perks of Being a Full-time Torc'r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: <ul><li>A competitive compensation package that includes a bonus component and stock options </li><li>100% paid medical, dental, and vision premiums for full-time employees </li> <li>401K plan with a 6% employer match </li><li>Flexibility in schedule and generous paid vacation (available immediately after start date) </li><li>Company-wide holiday office closures </li><li>AD+D and Life Insurance </li> </ul> Hiring Range for Job Opening US Pay Range $177,300-$212,800 USD At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

About the Company

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

Meet the team:

As part of an organization at the forefront of autonomous driving, we develop trajectory prediction & planning networks that enable the truck to make data-driven decisions to the scene around it. The Learned Vehicle Intent team works in partnership with Perception and Control teams to plan out the safest possible trajectory given the traffic, weather and environment around the truck.

What you'll do:

Design, develop, optimize and deploy machine learning models for trajectory planning in our autonomous trucks. The Senior ML Engineer will work closely with the rest of the machine Learning teams and the Vehicle Intent Department to advance our capabilities in time-series forecasting for autonomous driving. The candidate will participate in all aspects of the software lifecycle, from defining the requirements, planning and designing the model, to implementing and testing, and finally, deployment and maintenance.
Produce production deployed models and software
Contribute to the research, development, and improvement of machine learning models for end-to-end prediction, and planning
Collaborate with data scientists and other engineers to evaluate and improve the efficacy of these models
Develop software that is robust, efficient, and maintainable, always ensuring software quality
Participate in team meetings to share progress, collaborate on new ideas, and address any challenges
Stay updated on the latest developments in machine learning and autonomous driving. Evaluate how these can be utilized in our system
Work closely with the Vehicle Intent, Sensing and Understanding, and other autonomy teams to align on objectives and deliverables
Participate in technical discussions, brainstorming sessions, and other team meetings
Develop and maintain thorough documentation for all developed models and associated code
Provide mentorship and technical guidance to junior team members
What you'll need to succeed:    Master's degree in computer science, computer engineering, or engineering equivalent and 3+ years of relevant experience
Deep understanding of machine learning frameworks such as TensorFlow or PyTorch
Experience involving machine learning or related fields in a production environment
Hands-on experience with learning-based prediction, planning and control
Experience in autonomous driving systems, sensor fusion, and perception is a plus
Adept communication skills, able to articulate complex concepts to diverse audiences
Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment
Advanced knowledge contributing to engineering and process creation and maintenance
Excellent time management and organizational skills to plan, develop, and prioritize effectively
May require occasional travel to other sites
Continuous technical education and training is required to stay updated in the field of machine learning and autonomous driving.
Ability to be flexible and may work extended hours/weekends/evenings when project demands
Ability to work and collaborate across locations over different time zones
Bonus Points!     Doctorate Degree in Computer Science, Computer Engineering, Robotics, or equivalent with 2+ years relevant experience
Perks of Being a Full-time Torc'r

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:   A competitive compensation package that includes a bonus component and stock options
100% paid medical, dental, and vision premiums for full-time employees
401K plan with a 6% employer match
Flexibility in schedule and generous paid vacation (available immediately after start date)
Company-wide holiday office closures
AD+D and Life Insurance

Hiring Range for Job Opening

US Pay Range

$177,300-$212,800 USD

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.

Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet the team: As an organization at the forefront of autonomous driving, we develop camera-based perception algorithms to further advance the sensing capabilities of autonomous driving by enhancing capabilities such as object detection, Sign Recognition etc. What you'll do: You develop Computer Vision models in PyTorch and deploy them on embedded platforms You ensure the technical excellence of the solutions that your team is responsible for delivering and guide the integration of those solutions within the portfolio of Torc's products You are a leader within the team for the analysis of requirements and you contribute insights that go beyond the technical implementation details to anticipate potential challenges to delivery and feasibility of the solutions, and you drive decision making for trade-offs that exist in design and implementation You guide the creation of detailed software architecture design documents for robust, scalable, and long-lived machine learning solutions You develop and refine your team's applicable coding standards and processes and ensure that the team's deliveries adhere to those standards and processes You collaborate with team members to help integrate their contributions into the larger solution You provide rigorous feedback to your team members through the code review process to ensure that all contributions meet the team's standards, and you provide constructive critiques and improvements that contribute to the continuous learning of the team What you'll need to succeed: Master's degree in computer science, computer engineering, or engineering equivalent and 3 years of relevant experience Subject matter expert in Computer Vision and an advanced individual contributor professional Exhibiting competency in software development; testing code thoroughly, writing clear, maintainable code, and following the team's defined software development processes including applicable coding standards and documentation practices Demonstrating high proficiency in machine learning development, data analysis, and data preparation; demonstrating commitment to producing elegant solutions that are thoroughly tested and follow the team's defined machine learning development processes including applicable coding standards and documentation practices Working under high-level direction and informing the team's technical direction Owning technical troubleshooting and incident recovery response processes including root cause analysis and counter measure implementation for the team components Providing and actively seeking mentorship opportunities for engineers on the team and contributing technical comments, performance feedback, and input to goals Proficient in Python, C++ Experience Working with PyTorch, TensorRT and OpenCV Bonus Points PhD in Machine Learning and 1 years of industry experience 2 years of experience leading teams to advance technology Perks of Being a Full-time Torc'r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: A competitive compensation package that includes a bonus component and stock options 100% paid medical, dental, and vision premiums for full-time employees 401K plan with a 6% employer match Flexibility in schedule and generous paid vacation (available immediately after start date) Company-wide holiday office closures ADD and Life Insurance Hiring Range for Job Opening US Pay Range $177,300-$212,800 USD At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

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