Prepare for and practice interview questions from Joby Aviation.

Joby Aviation Interview Questions

Joby Aviation Interview Guides

<p>You are testing hundreds of hypotheses with many <em>t</em>-tests. What considerations should be made?</p>


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

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?

<p>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.</p>

<p>How would you assess the validity of the result?</p>


Experiment Validity

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


<p>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?</p>

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

Joby Aviation Salaries by Position

<p><p>Joby Overview Located in Northern California, the team at Joby Aviation is driven by our goal of creating an affordable, all-electric air transportation system. Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. Since 2009, our team has worked steadily to make this dream a reality. Weve designed and tested many generations of prototype aircraft capable of serving in a network of electric air taxis. Were looking for talented, committed individuals to join our team as we push onwards toward certifying the Joby aircraft with the Federal Aviation Administration, scaling our manufacturing, and preparing to launch commercial service in 2025.</p><p>Overview The role involves developing, testing and deploying embedded drivers and algorithms for the aircraft's energy storage and distribution system. This system is responsible for safely powering the aircraft, managing high voltage systems and providing energy estimates to the pilot and control system. The engineer will be part of a small, fast-moving team and contribute to conceptual system architectural design and implementation of embedded software and firmware to ensure safety of an electric-powered, fly-by-wire aircraft.</p><p>Responsibilities Work closely with different stakeholders to understand battery operating conditions and control limitations and translate them into embedded software utilizing OOP C++</p><p>Assist in the Architecture and write software for the battery management system</p><p>Test and deploy battery algorithms</p><p>Perform data analysis, to support algorithm development and validation</p><p>Required Bachelor's degree in computer science/engineering, robotics, or equivalent and 5+ years of industry experience, an advanced degree and 3+ years will also be considered.</p><p>Expert knowledge of C++ and knowledge of and experience with real-time operating systems</p><p>Understanding of modern micro-controller and microprocessor architectures</p><p>Experience debugging an embedded target</p><p>Demonstratable experience with Python</p><p>Experience with git</p><p>Strong communication and documentation skills</p><p>Desired Familiarity with high voltage systems</p><p>Familiarity with Linux</p><p>Familiarity with Ethernet/UDP</p><p>Please still apply if you dont meet all items in the desired section! We are dedicated to building a diverse and effective workplace, so if youre excited about this role but your experience doesnt align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles.</p><p>EEO Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $129,400 - $193,200/yr. The compensation package will be determined by job-related knowledge, skills, and experience. Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more.</p><p>Joby is an Equal Opportunity Employer.</p><p>#J-18808-Ljbffr</p></p>

<p>Joby Overview Located in Northern California, the team at Joby Aviation is driven by our goal of creating an affordable, all-electric air transportation system. Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. Since 2009, our team has worked steadily to make this dream a reality. Weve designed and tested many generations of prototype aircraft capable of serving in a network of electric air taxis. Were looking for talented, committed individuals to join our team as we push onwards toward certifying the Joby aircraft with the Federal Aviation Administration, scaling our manufacturing, and preparing to launch commercial service in 2025. Overview The role involves developing, testing and deploying embedded drivers and algorithms for the aircraft's energy storage and distribution system. This system is responsible for safely powering the aircraft, managing high voltage systems and providing energy estimates to the pilot and control system. The engineer will be part of a small, fast-moving team and contribute to conceptual system architectural design and implementation of embedded software and firmware to ensure safety of an electric-powered, fly-by-wire aircraft. Responsibilities Work closely with different stakeholders to understand battery operating conditions and control limitations and translate them into embedded software utilizing OOP C++ Assist in the Architecture and write software for the battery management system Test and deploy battery algorithms Perform data analysis, to support algorithm development and validation Required Bachelor's degree in computer science/engineering, robotics, or equivalent and 5 years of industry experience, an advanced degree and 3 years will also be considered. Expert knowledge of C++ and knowledge of and experience with real-time operating systems Understanding of modern micro-controller and microprocessor architectures Experience debugging an embedded target Demonstratable experience with Python Experience with git Strong communication and documentation skills Desired Familiarity with high voltage systems Familiarity with Linux Familiarity with Ethernet/UDP Please still apply if you dont meet all items in the desired section We are dedicated to building a diverse and effective workplace, so if youre excited about this role but your experience doesnt align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles. EEO Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $129,400 - $193,200/yr. The compensation package will be determined by job-related knowledge, skills, and experience. Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more. Joby is an Equal Opportunity Employer. J-18808-Ljbffr</p>

Joby Overview  Located in Northern California, the team at Joby Aviation is driven by our goal of creating an affordable, all-electric air transportation system. Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. Since 2009, our team has worked steadily to make this dream a reality. We’ve designed and tested many generations of prototype aircraft capable of serving in a network of electric air taxis. We’re looking for talented, committed individuals to join our team as we push onwards toward certifying the Joby aircraft with the Federal Aviation Administration, scaling our manufacturing, and preparing to launch commercial service in 2025.
Overview  As an integral member of our software team, you will play a leading role in bringing the production of our eVTOL to Industry 4.0. You will be responsible for conception and development of services interacting with everything from large production machines to users and everything in between, driving automation and coherence to existing regulations in this new type of industry. With your development skills, you will drive the integration of our production machines and the connection to all related production data, significantly advancing automation to the greatest extent possible.
Responsibilities  Your tasks in detail:
Development of Backend services using Python
Interfacing with Frontend developers to realize needed functions
Further development of the existing architecture and optimization of automation strategies
Collaborating with internal stakeholders to identify and align requirements and functionalities
Collaborating with external vendors to determine optimal strategies and ensure system stability
International deployment at locations in the USA and Germany
Required Qualifications   Completed studies in (business) informatics, mechanical engineering, or a comparable field
Advanced proficiency in Python
Advanced proficiency in working with Docker
Advanced knowledge in RESTful web services
Desired Qualifications   Working proficiency with GitHub-based CI/CD
Working proficiency with databases such as PostgreSQL and/or TimescaleDB
Ideally, familiarity with different file systems such as cloud storage or similar
Ability to work independently in international teams
Experience with complex projects and agile working methods
Ideally, experience in the production sector
Please still apply if you don’t meet all items in the desired section! Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse and effective workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
EEO  Compensation at Joby is a combination of base pay, bonus, and Restricted Stock Units (RSUs). The target base pay for this position is $132,200 - $197,900/year. The compensation package offered will be determined by location, job-related knowledge, skills, and experience.
Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more.
Joby is an Equal Opportunity Employer.

#J-18808-Ljbffr

Joby Overview  Located in Northern California, the team at Joby Aviation is driven by our goal of creating an affordable, all-electric air transportation system. Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. Since 2009, our team has worked steadily to make this dream a reality. We’ve designed and tested many generations of prototype aircraft capable of serving in a network of electric air taxis. We’re looking for talented, committed individuals to join our team as we push onwards toward certifying the Joby aircraft with the Federal Aviation Administration, scaling our manufacturing, and preparing to launch commercial service in 2025.
Overview  Joby Aviation is seeking a skilled Data Scientist with a specialized background in developing Prognostics and Health Monitoring (PHM) algorithms, specifically for aircraft or heavy machinery applications. The ideal candidate will bring a proven track record in contributing to the research and development of cutting-edge diagnostic and prognostic solutions for critical applications. As a valuable member of our dynamic team, the successful candidate will play a pivotal role in designing innovative diagnostics and prognostics algorithms tailored for the Joby S4 vehicle. This position involves active participation in all stages of the product development lifecycle, requiring expertise in requirements gathering, design, validation, documentation, release, and maintenance. You will also need to work closely with your colleagues across a broad set of highly technical disciplines who depend on data. The ideal candidate is energetic, has a positive attitude, is flexible and excited about learning and using new technologies.
Responsibilities   Develop models and scalable algorithms derived from both data and underlying physics to evaluate the condition of electro-mechanical systems.
Create predictive models of physical degradation, failures, and data-driven prognostics algorithms to assess the health and performance of critical components.
Formulate health monitoring strategies to detect anomalies/outliers in real flight data.
Conduct research and development projects concentrating on Prognostic Health Management (PHM) and Condition Based Maintenance Plus (CBM+) in diverse application areas.
Gather and analyze equipment lifecycle history, including failure modes, downtime, MTBF, etc.
Address complex questions regarding fleet usage and behavior to facilitate proactive monitoring, enhance reliability, and minimize field failures.
Wrangle data from a multitude of formats and systems (Avro, TDMS, PostgreSQL, AWS, etc.).
Conduct data analysis and interpret sensor data from a number of physical tests (aircraft, simulators, reliability test equipment, subsystem tests, etc.).
Collaborate with cross-functional teams and subject matter experts to integrate prognostic solutions into existing systems and workflows.
Support field testing and validation efforts, working closely with test engineers and technicians to validate prognostic models in real-world environments.
Automate data collection and processing algorithms, including the generation of Machine Learning/Deep Learning models for automatic data labeling and anomaly detection.
Comfortable navigating a quickly changing environment and willing to learn on-the-fly to obtain and define requirements.
Stay current with advancements in machine learning, particularly in the areas of data-driven prognostics and physics-based machine learning.
Required   MS or PhD in Electrical, Computer Science, Mechanical, or Aerospace Engineering, or similar field and 7+ years of relevant experience.
Work experience, including academic research, directly related to the development of Prognostics Health Management (PHM) or Condition Based Maintenance Plus (CBM+) technologies, or analysis and simulation of complex electrical or mechanical systems.
Strong background in data analysis (algorithms, data structures, and architectures), probability, statistics, signal processing, and predictive modeling.
Experience with rotating machinery diagnostics and vibrational analysis, preferably in the aerospace industry.
Strong programming skills, preferably in Python and its numerical and data libraries (pandas, scipy, numpy, etc.).
Work experience with Apache Spark or other big data tools (Databricks, Presto, Data Lake, etc.).
Work experience with anomaly/outlier detection in time series data.
Proficient in data-driven methods, Regression, Neural Networks, Machine Learning and Deep Learning.
Strong written and verbal communication skills.
Self-starter capable of working with limited supervision and guidance.
Experience leading teams and projects from conception to completion.
Desired   Experience with Health and Usage Monitoring Systems (HUMS) and their certification.
Knowledge of aerospace systems, components, and their failure modes.
Familiarity with fault detection and diagnosis methods, and reliability analysis.
Experience with MLOps and building machine learning pipelines in a professional setting.
Record of generating new ideas or improving existing ideas in statistical modeling or machine learning, demonstrated by accomplishments such as first-author publications or projects.
Experience with data architectures in relation to how to store, fetch, and manipulate data (SQL, custom APIs, etc.).
Used Git in small to medium size teams for code reviews.
Please still apply if you don’t meet all items in the desired section! Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse and effective workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
EEO  Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $148,700 - $198,200/yr. The compensation package offered will be determined by location, job-related knowledge, skills, and experience.
Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more.
Joby is an Equal Opportunity Employer.

#J-18808-Ljbffr

Joby Overview  Located in Northern California, the team at Joby Aviation is driven by our goal of creating an affordable, all-electric air transportation system. Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. Since 2009, our team has worked steadily to make this dream a reality. We’ve designed and tested many generations of prototype aircraft capable of serving in a network of electric air taxis. We’re looking for talented, committed individuals to join our team as we push onwards toward certifying the Joby aircraft with the Federal Aviation Administration, scaling our manufacturing, and preparing to launch commercial service in 2025.
Overview  The role involves developing, testing and deploying embedded drivers and algorithms for the aircraft's energy storage and distribution system. This system is responsible for safely powering the aircraft, managing high voltage systems and providing energy estimates to the pilot and control system. The engineer will be part of a small, fast-moving team and contribute to conceptual system architectural design and implementation of embedded software and firmware to ensure safety of an electric-powered, fly-by-wire aircraft.
Responsibilities   Work closely with different stakeholders to understand battery operating conditions and control limitations and translate them into embedded software utilizing OOP C++
Assist in the Architecture and write software for the battery management system
Test and deploy battery algorithms
Perform data analysis, to support algorithm development and validation
Required   Bachelor's degree in computer science/engineering, robotics, or equivalent and 5+ years of industry experience, an advanced degree and 3+ years will also be considered.
Expert knowledge of C++ and knowledge of and experience with real-time operating systems
Understanding of modern micro-controller and microprocessor architectures
Experience debugging an embedded target
Demonstratable experience with Python
Experience with git
Strong communication and documentation skills
Desired   Familiarity with high voltage systems
Familiarity with Linux
Familiarity with Ethernet/UDP
Please still apply if you don’t meet all items in the desired section! We are dedicated to building a diverse and effective workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
EEO  Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $129,400 - $193,200/yr. The compensation package will be determined by job-related knowledge, skills, and experience. Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more.
Joby is an Equal Opportunity Employer.

#J-18808-Ljbffr

Joby Overview  Located in Northern California, the team at Joby Aviation is driven by our goal of creating an affordable, all-electric air transportation system. Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. Since 2009, our team has worked steadily to make this dream a reality. We’ve designed and tested many generations of prototype aircraft capable of serving in a network of electric air taxis. We’re looking for talented, committed individuals to join our team as we push onwards toward certifying the Joby aircraft with the Federal Aviation Administration, scaling our manufacturing, and preparing to launch commercial service in 2025.
Overview  The role involves developing, testing and deploying embedded drivers and algorithms for aircraft's flight sensor systems which are responsible for producing navigation and air data for the integrated flight propulsion and control system. The engineer will be part of a small, fast-moving team and contribute to conceptual system architectural design and implementation of embedded software to ensure safety of an electric-powered, fly-by-wire aircraft.
Responsibilities   Develop embedded system architecture
Write software for the flight sensor systems
Develop algorithms to fuse sensor data and monitor sensor health
Test algorithms and software
Required Qualifications   Bachelor's in aerospace/mechanical engineering, computer science, or related field and 5+ years of industry experience in software engineering or an advanced degree (MS or PhD) and 3+ years industry experience in software engineering
Demonstrable proficiency in C++ and Python
Demonstrable proficiency in object-oriented programming methodology and multi-layer system architectures
Comfortable implementing complex mathematical algorithms and bookkeeping schemes
Basic understanding of version control technologies
Eager to learn new techniques and experiment with advanced technologies
Desired Qualifications   Familiar with writing efficient, hardware-accelerated code (e.g., SIMD, GPU, or FPGA), especially for digital signal processing applications
Proficient in Bayesian estimation concepts and Kalman filtering
Proficient in statistics concepts and statistical data analysis
Understanding of DO-178C or safety critical software
Please still apply if you don’t meet all items in the desired section! Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse and effective workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
EEO  Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $130,900 - $192,300/yr. The compensation package will be determined by job-related knowledge, skills, and experience. Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more.
Joby is an Equal Opportunity Employer.

#J-18808-Ljbffr

<h3>Joby Overview </h3><p>Located in Northern California, the team at Joby Aviation is driven by our goal of creating an affordable, all-electric air transportation system. Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. Since 2009, our team has worked steadily to make this dream a reality. We’ve designed and tested many generations of prototype aircraft capable of serving in a network of electric air taxis. We’re looking for talented, committed individuals to join our team as we push onwards toward certifying the Joby aircraft with the Federal Aviation Administration, scaling our manufacturing, and preparing to launch commercial service in 2025. </p><h3>Overview </h3><p>Working as a Software Engineer in the Data Analytics core team you will be responsible for developing and improving software architectures of prototype analytics tools into production and promoting Continuous Integration and Continuous Deployment (CI / CD) principles within the team. You should be able to work cohesively with subject matter experts and distill requirements into simple, testable and maintainable software. You will also need to work closely with your analytics colleagues across a broad set of highly technical disciplines who depend on data to architect and optimize analytics solutions, helping them transform one-off analyses into production-quality software. The ideal candidate is energetic, has a positive attitude, is flexible and excited about learning and using new technologies. </p><h3>Responsibilities </h3><ul><li>Collaborate with data scientists, other cross-functional teams and subject matter experts on software engineering projects. </li><li>Provide guidance to improve performance and operability of the solutions the Data Analytics team develops. </li><li>Build deployment for analytical applications and data pipelines on various platforms (Databricks, Kubernetes, local machines). </li><li>Promote SW Engineering and DevOps principles and culture across the Data Analytics team. </li><li>Comfortable navigating a quickly changing environment and willing to learn on-the-fly to obtain and define requirements. </li><li>Stay current with advancements in software and data engineering. </li> </ul><h3>Required </h3><ul><li>BS in Computer Science, Engineering, or similar field and 3+ years of relevant work experience. </li><li>Expert-level software-engineering ability: you are able to distill requirements into simple, testable and maintainable software, provide technical guidance and design solutions for large-scale data science and automation projects. </li><li>Ability to troubleshoot complex issues across multiple levels of abstraction. </li><li>Strong programming skills in a high level language, in particular with Python. </li><li>Experience with SQL databases and the relational data model. </li><li>Experience developing on Unix-based platforms. </li><li>Experience with version control and CI/CD platforms. You're able to see your software through its entire lifecycle (development, testing, deployment). </li><li>Self-starter capable of working with limited supervision and guidance. </li><li>Experience leading projects from conception to completion. </li><li>Strong verbal and written communication skills. </li> </ul><h3>Desired </h3><ul><li>Experience with the Python data stack (Pandas, Scipy/Numpy, Jupyter). </li><li>Experience with distributed systems and big data tools (i.e., Kafka, Apache Spark, Flink, Presto). </li><li>Experience with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation, Kubernetes manifests). </li><li>Experience with MLOps and building machine learning pipelines in a professional setting. </li> </ul><p>Please still apply if you don’t meet all items in the desired section! Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse and effective workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles. </p><h3>EEO </h3><p>Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $115,700 - $154,300/yr. The compensation package offered will be determined by location, job-related knowledge, skills, and experience. </p><p>Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more. </p><p>Joby is an Equal Opportunity Employer. </p>#J-18808-Ljbffr

<h3>Joby Overview </h3><p>Located in Northern California, the team at Joby Aviation is driven by our goal of creating an affordable, all-electric air transportation system. Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. Since 2009, our team has worked steadily to make this dream a reality. We’ve designed and tested many generations of prototype aircraft capable of serving in a network of electric air taxis. We’re looking for talented, committed individuals to join our team as we push onwards toward certifying the Joby aircraft with the Federal Aviation Administration, scaling our manufacturing, and preparing to launch commercial service in 2025. </p><h3>Overview </h3><p>As an integral member of our software team, you will play a leading role in bringing the production of our eVTOL to Industry 4.0. You will be responsible for conception and development of services interacting with everything from large production machines to users and everything in between, driving automation and coherence to existing regulations in this new type of industry. With your development skills, you will drive the integration of our production machines and the connection to all related production data, significantly advancing automation to the greatest extent possible. </p><h3>Responsibilities </h3><p>Your tasks in detail: </p><ul><li>Development of Backend services using Python </li><li>Interfacing with Frontend developers to realize needed functions </li><li>Further development of the existing architecture and optimization of automation strategies </li><li>Collaborating with internal stakeholders to identify and align requirements and functionalities </li><li>Collaborating with external vendors to determine optimal strategies and ensure system stability </li><li>International deployment at locations in the USA and Germany </li> </ul><h3>Required Qualifications </h3><ul><li>Completed studies in (business) informatics, mechanical engineering, or a comparable field </li><li>Advanced proficiency in Python </li><li>Advanced proficiency in working with Docker </li><li>Advanced knowledge in RESTful web services </li> </ul><h3>Desired Qualifications </h3><ul><li>Working proficiency with GitHub-based CI/CD </li><li>Working proficiency with databases such as PostgreSQL and/or TimescaleDB </li><li>Ideally, familiarity with different file systems such as cloud storage or similar </li><li>Ability to work independently in international teams </li><li>Experience with complex projects and agile working methods </li><li>Ideally, experience in the production sector </li> </ul><p>Please still apply if you don’t meet all items in the desired section! Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse and effective workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles. </p><h3>EEO </h3><p>Compensation at Joby is a combination of base pay, bonus, and Restricted Stock Units (RSUs). The target base pay for this position is $132,200 - $197,900/year. The compensation package offered will be determined by location, job-related knowledge, skills, and experience. </p><p>Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more. </p><p>Joby is an Equal Opportunity Employer. </p>#J-18808-Ljbffr

<h3>Joby Overview </h3><p>Located in Northern California, the team at Joby Aviation is driven by our goal of creating an affordable, all-electric air transportation system. Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. Since 2009, our team has worked steadily to make this dream a reality. We’ve designed and tested many generations of prototype aircraft capable of serving in a network of electric air taxis. We’re looking for talented, committed individuals to join our team as we push onwards toward certifying the Joby aircraft with the Federal Aviation Administration, scaling our manufacturing, and preparing to launch commercial service in 2025. </p><h3>Overview </h3><p>The role involves developing, testing and deploying embedded drivers and algorithms for aircraft's flight sensor systems which are responsible for producing navigation and air data for the integrated flight propulsion and control system. The engineer will be part of a small, fast-moving team and contribute to conceptual system architectural design and implementation of embedded software to ensure safety of an electric-powered, fly-by-wire aircraft. </p><h3>Responsibilities </h3><ul><li>Develop embedded system architecture </li><li>Write software for the flight sensor systems </li><li>Develop algorithms to fuse sensor data and monitor sensor health </li><li>Test algorithms and software </li> </ul><h3>Required Qualifications </h3><ul><li>Bachelor's in aerospace/mechanical engineering, computer science, or related field and 5+ years of industry experience in software engineering or an advanced degree (MS or PhD) and 3+ years industry experience in software engineering </li><li>Demonstrable proficiency in C++ and Python </li><li>Demonstrable proficiency in object-oriented programming methodology and multi-layer system architectures </li><li>Comfortable implementing complex mathematical algorithms and bookkeeping schemes </li><li>Basic understanding of version control technologies </li><li>Eager to learn new techniques and experiment with advanced technologies </li> </ul><h3>Desired Qualifications </h3><ul><li>Familiar with writing efficient, hardware-accelerated code (e.g., SIMD, GPU, or FPGA), especially for digital signal processing applications </li><li>Proficient in Bayesian estimation concepts and Kalman filtering </li><li>Proficient in statistics concepts and statistical data analysis </li><li>Understanding of DO-178C or safety critical software </li> </ul><p>Please still apply if you don’t meet all items in the desired section! Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse and effective workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles. </p><h3>EEO </h3><p>Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $130,900 - $192,300/yr. The compensation package will be determined by job-related knowledge, skills, and experience. Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more. </p><p>Joby is an Equal Opportunity Employer. </p>#J-18808-Ljbffr

<h3>Joby Overview </h3><p>Located in Northern California, the team at Joby Aviation is driven by our goal of creating an affordable, all-electric air transportation system. Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. Since 2009, our team has worked steadily to make this dream a reality. We’ve designed and tested many generations of prototype aircraft capable of serving in a network of electric air taxis. We’re looking for talented, committed individuals to join our team as we push onwards toward certifying the Joby aircraft with the Federal Aviation Administration, scaling our manufacturing, and preparing to launch commercial service in 2025. </p><h3>Overview </h3><p>The role involves developing, testing and deploying embedded drivers and algorithms for the aircraft's energy storage and distribution system. This system is responsible for safely powering the aircraft, managing high voltage systems and providing energy estimates to the pilot and control system. The engineer will be part of a small, fast-moving team and contribute to conceptual system architectural design and implementation of embedded software and firmware to ensure safety of an electric-powered, fly-by-wire aircraft. </p><h3>Responsibilities </h3><ul><li>Work closely with different stakeholders to understand battery operating conditions and control limitations and translate them into embedded software utilizing OOP C++ </li><li>Assist in the Architecture and write software for the battery management system </li><li>Test and deploy battery algorithms </li><li>Perform data analysis, to support algorithm development and validation </li> </ul><h3>Required </h3><ul><li>Bachelor's degree in computer science/engineering, robotics, or equivalent and 5+ years of industry experience, an advanced degree and 3+ years will also be considered. </li><li>Expert knowledge of C++ and knowledge of and experience with real-time operating systems </li><li>Understanding of modern micro-controller and microprocessor architectures </li><li>Experience debugging an embedded target </li><li>Demonstratable experience with Python </li><li>Experience with git </li><li>Strong communication and documentation skills </li> </ul><h3>Desired </h3><ul><li>Familiarity with high voltage systems </li><li>Familiarity with Linux </li><li>Familiarity with Ethernet/UDP </li> </ul><p>Please still apply if you don’t meet all items in the desired section! We are dedicated to building a diverse and effective workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles. </p><h3>EEO </h3><p>Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $129,400 - $193,200/yr. The compensation package will be determined by job-related knowledge, skills, and experience. Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more. </p><p>Joby is an Equal Opportunity Employer. </p>#J-18808-Ljbffr

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