Principal Embedded Software Engineer About JLG, an Oshkosh company
JLG began in 1969, when our founder, John L. Grove set out to resolve growing safety concerns in the construction industry. Since then we have been committed to understanding the challenges and delivering innovative solutions to the access market. We partner with customers to provide quality equipment, training opportunities and trusted support within the access industry. We are a global company, and our products—including mobile elevating work platforms, telehandlers, utility vehicles and accessories—can be found all over the world.
The Sr Principal Engineer – Software is the classification typically reserved for a single incumbent or a limited number of individuals with highly developed specialties in research and development or design area.
YOUR IMPACT:
Responsible for completion of a complex project on time.
Will be responsible for overall project schedule and budget.
Responsible for managing multiple priorities.
Collaborate as needed with other engineering business support disciplines internally as well as suppliers externally.
May have exposure to the external customers and/or industry organizations.
Provide guidance or mentorship to entry level engineers working on a common project.
Perform and check complex engineering calculations, investigations, and tasks as assigned according to Oshkosh, as well as general industry, engineering standards and processes.
Responsible for the preparation and delivery of complex plans, designs, computation methods, and/or reporting.
Research, create, and update standard engineering methodology and procedures - best practices, etc.
Plans and directs the technical aspects of the most highly complex research and development programs.
Synthesizes and analyzes studies which required application of advanced knowledge in a specific field.
May provide project direction and technical counsel to lower-level engineers.
Research, study, and propose the use of new technologies to be used in the development of new and improved products.
Prepare technical proposals and presentations.
Other duties as assigned.
Regular attendance is required.
MINIMUM QUALIFICATIONS:
Accredited Bachelor's degree in Engineering or related field with eight (8) or more years of related experience.
STANDOUT QUALIFICATIONS:
Accredited Master's degree in Computer Science, Computer or Electrical Engineering.
Familiarity with JSON and Python in addition to Embedded C/C++.
Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at: 920-502-3009 or corporatetalentacquisition@oshkoshcorp.com.
Oshkosh Corporation is an Equal Opportunity and Affirmative Action Employer. This company will provide equal opportunity to all individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Advance your career by advancing the world. For many of our team members, this is more than a career. It’s a calling. Oshkosh is home to thousands of difference-makers working together to build, serve and protect people and communities around the world.

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As a key member of our team in the role of AI Software Engineer IV , you will play a pivotal role in designing and evolving advanced AI solutions that significantly improve the experiences of our team members in Technical Support Services. Working alongside an elite team of AI and Automation Engineers, your mission will involve building, deploying, and optimizing machine learning and generative AI-driven applications across various divisions, including the Help Desk, Field Service, Implementation, and Executive teams.

With a strong background in AI and Machine Learning engineering, you will leverage your expertise in model development, natural language processing, and data engineering to contribute substantially to our AI-driven projects. You'll collaborate closely with our Data Automation Engineers, Database Administrators, and Subject Matter Experts to oversee and refine internal data sets, ensuring they meet the business requirements set by our internal customers.

Your responsibilities will include automating data processing, developing advanced AI/ML models, and building intelligent software applications aimed at reducing customer downtime and enhancing the customer experience. Additionally, you will spearhead the development and deployment of scalable generative AI solutions to advance both corporate and customer engagement scenarios beyond prototype phases.

Responsibilities:

Design, implement, and optimize AI and ML models, focusing on generative AI and NLP models, to enhance data processing and improve predictive insights.

Engineer reusable, efficient, and testable code in Python, R, or PowerShell to support AI/ML pipelines and system integrations.

Build and manage ETL pipelines to prepare data for machine learning and analytics applications.

Develop APIs to integrate ML models into various applications and enable seamless interaction with external services.

Design, develop, and maintain scalable full-stack applications that support real-time data analysis and visualization and leverage AI design components.

Lead the collection and analysis of requirements for AI-based solutions, ensuring high availability and performance for data-centric applications.

Stay current with the latest AI/ML innovations and apply these to continuously improve our generative AI solutions and automation frameworks.

Expand application capabilities to include mobile platforms (iOS and Android) if needed.

Required Knowledge and Skills:

Ability to recommend technical, process, and procedural improvements to optimize AI-driven applications and systems.

Capability to mentor and train other team members on advanced AI/ML concepts and methodologies.

Expertise in ML model lifecycle management, including training, tuning, deploying, and monitoring models.

Collaboration skills for working cross-functionally with teams to solve complex technical challenges.

Advanced experience with Python, Databricks, R, and other ML libraries and frameworks such as TensorFlow or PyTorch.

Proficiency with cloud platforms (Azure, AWS, GCP) and ML deployment services, such as Azure ML, Vertex AI, or AWS SageMaker.

Strong understanding of full-stack development to build powerful dashboards and notifications for operational centers with a focus on AI automation.

Deep familiarity with machine learning and generative AI methodologies, with knowledge of platforms like Microsoft’s Semantic Kernel, Google’s Vertex AI, or OpenAI API.

Proficiency in both front-end and back-end tools and libraries (e.g., React, Angular, D3.js, Node.js) for building tools that support SRE and Operations oriented teams.

Basic Qualifications:

BA/BS in Computer Science, Data Science, or a related field, with 6–8 years of relevant experience, or an equivalent combination of education and experience.

3+ years of experience in AI/ML engineering, with demonstrated proficiency in programming languages such as Python, R, and PowerShell.

3+ years of experience with messaging and streaming services like Kafka.

Strong understanding of data engineering and database management, including experience with MS-SQL and Databricks.

Experience with developing and deploying RESTful APIs and integrating ML models.

Knowledge of machine learning and generative AI techniques, including NLP and time series analysis.

Proven ability to work with large datasets and perform complex data transformations.

Experience in building AI-powered applications using front-end technologies such as React, Angular, or Node.js.

Preferred Qualifications:

Master’s degree in AI, Machine Learning, or Data Science, with 8+ years of relevant experience or equivalent education/experience.

6+ years of experience in AI/ML model development, including fine-tuning LLMs, retrieval-augmented generation (RAG), or similar generative AI applications for chatbots and knowledge indexing.

3+ years of experience focused on automation, data integration, and AI-powered dashboard design.

1+ years of experience in AI-driven solutions for healthcare or pharmaceutical applications, ensuring PHI/PII compliance.

Familiarity with cloud architectures, such as AWS, Docker, or Kubernetes, and experience in deploying ML models in cloud environments.

Experience in IoT device/asset management is a plus.

Work Conditions

Remote environment.

Occasional travel (

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Introduction We’re always looking for talent that believes in having fun. At PENN Entertainment, you’ll get to be a part of an exciting industry, where the days and nights are fast paced. You’ll work with an incredibly diverse set of co-workers driven by their enthusiasm for helping people find and have more fun. You’ll also get to work at a company that cares about your career growth and will help you get the support you need to expand your possibilities.
This position is hybrid, must be able to work in Wyomissing, PA.
Overview We are seeking a talented and experienced Software Engineer. The ideal candidate will have a deep understanding of AWS serverless technologies. This role involves designing, developing, and maintaining serverless applications, ensuring scalable and efficient solutions using AWS services and integrating with either on-prem or other cloud services.
Responsibilities Designing robust and scalable cloud solutions with considerations surrounding reliability, performance, scalability.
Write clean, efficient, and maintainable code to achieve low latency and fast throughput.
Implement CI/CD pipelines to automate software delivery processes, ensuring rapid and reliable application deployment.
Writing unit test cases to ensure quality assurance and durability of code through the development life cycle.
Implement monitoring and logging solutions to ensure application reliability and performance.
Ensure that applications adhere to security best practices and compliance requirements, including data protection and secure coding practices.
Collaborating with cross-functional teams, including Product Managers, Software Engineers, and stakeholders to deliver enterprise solutions.
Stay current with emerging AWS technologies and best practices, continuously seeking opportunities to enhance system performance and scalability.
Requirements Bachelor’s/Master’s Degree in Computer Science or Engineering or related field from an accredited college or university.
3 or more years of software engineering knowledge on cloud architecture and working with EC2, S3, Lambda Functions.
Experience developing with one or more serverless programming languages (Python, Go, etc.).
Experience with event-driven architecture and services (Apache Kafka, AWS Kinesis…) or other related tools.
Experience with working with relational databases and NoSQL (MySQL, PostgreSQL, DynamoDB, Redshift, Redis, Aurora).
Experience with creating Docker images and deploying containers.
Experience with creating automated unit test cases for serverless functions.
Experience with local stack and integrating this with the technology stack.
Knowledge with CI/CD configuration pipelines and setting up a deployment process into the cloud using Jenkins.
Knowledge with Amazon CLI command line tools.
Demonstrated critical thinking and problem-solving skills and clearly communicating solutions.

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Software Engineer Jobs in Butler, PA

Principal Embedded Software EngineerNovember 20, 2024

Senior Fullstack Software Engineer RemoteNovember 17, 2024

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Quick filters

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