Sr. Research Engineer - Generative AI

Posted 8 Days Ago
Be an Early Applicant
Detroit, MI
Hybrid
Senior level
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
Dream big. With Us. Let's create the future of mobility, together.
The Role
The Senior Research Engineer will develop generative AI software for autonomous driving, focusing on path planning and decision making. Responsibilities include evaluating technologies, supporting innovative component development, analyzing engineering results, managing project schedules, and maintaining technical knowledge.
Summary Generated by Built In

About us
We see a future where everyone can live and move without limitations. That's why we are developing technologies, systems and concepts that make vehicles safer and cleaner, while serving our communities, the planet and, above all, people.
Forward. For all.
Group Summary
Magna is more than one of the world's largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.
About the Role
This position entails the development of generative AI software for path planning & decision making in autonomous driving (AD) systems. The software involves generative transformer-based and algorithm-based SW using perception results from multiple Camera/Lidar, as well as other software components, such as deep learning, large language model, dataset managing, state estimation, semantic abstraction, searching, path prediction, cost optimization, decision making, and failure handling. The Senior Research Engineer will be responsible for planning, executing, and coordinating New Mobility programs in collaboration with internal and external departments, supplier companies, institutions, and academia.
Your Responsibilities

  • Evaluation of technologies and product designs with compliance to scientific principles, engineering principles, company standards, customer requirements and related specifications
  • Support the development of innovative components and modules from the initial concept phase through the complete development process including design engineering, validation, prototyping, testing, and evaluation of the proposed production capable process and business case
  • Contribute to team effort by providing innovative ideas for products and processes and by sharing information with other team members
  • Analyze engineering results and propose product changes to determine feasibility, improvement of components and systems and functional/performance specifications
  • Correlate experimental data to simulation data
  • Maintain innovation project schedule by monitoring project progress, co-coordinate activities, calculating time requirements, sequencing project elements, and resolving problems
  • Specify requests and coordinate all sub-contracted work (i.e., S/W development, prototyping, validation, testing) and assures timely completion
  • Confer with other project engineers to clarify or resolve problems and develop designs
  • Maintain proper filing systems to ensure all information, (electronic or hard copy), are stored according to departments requirements
  • Provide engineering support to other departments within the company as directed by the department leader
  • Maintain professional and technical knowledge by reviewing professional publications and establishing personal networks
  • Responsible for keeping the organization abreast of developments in his/her R&D programs.


Who we are looking for

  • Ability to travel domestic and international
  • Normal amount of sitting or standing, average mobility to move around an office environment, able to conduct normal amount of work at a computer. Vision abilities required by this job include close vision and ability to adjust focus


Your preferred qualifications

  • Experience in research or development in a technology area related to Autonomous Driving (as per the definition in the Job Introduction), AI/ML or Robotics, or equivalent combination of education/experience.


EDUCATION / EXPERIENCE

  • Master's or higher degree in Engineering including but not limited to: Computer Science, Electrical, Robotics, Aerospace, and Mechanical Engineering


SPECIAL KNOWLEDGE / SKILLS:

  • Practical experience with transformer models
  • Experience with Vision/Lidar/Radar sensors
  • Proficiency in programming languages such as Python, C/C++, Matlab/Simulink, etc.
  • Hands-on experience with ROS/ROS2
  • Hands-on experience with edge devices
  • Practical experience in training and deploying deep learning models
  • Exposure to any kind of Reinforcement Learning
  • Exposure to any kind of Large Language Model
  • Exposure to any kind of Self-Supervised or Unsupervised learning
  • Exposure to any kind of searching algorithm such as A*, Dijkstra
  • Exposure to any kind of object behavior prediction
  • Exposure to one or more of the following: semantic segmentation, instance segmentation, panoptic segmentation, depth estimation, key point estimation, or optical flow
  • Exposure to autonomous algorithms including localization, perception, deep learning, tracking, searching, control, and random variable theory.
  • Strong spoken and written English language skills.


What we offer
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Site Benefits
Awareness. Unity. Empowerment.
At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.
Nearest Major Market: Troy
Nearest Secondary Market: Detroit

Top Skills

Deep Learning
Generative Ai

What the Team is Saying

Doug
Dave
Sam
Leo
Jim
Sreeni
The Company
HQ: Aurora, Ontario
171,000 Employees
Hybrid Workplace
Year Founded: 1957

What We Do

We are a mobility company that innovates like a start-up and thinks like a technology company. This helps us anticipate change in one of the most complex industries in the world and respond quickly. We depend on a team of 171,000 dynamic, entrepreneurial-minded employees in an environment where great ideas flourish. Our presence spans 343 manufacturing operations and 88 product development, engineering and sales centers in 29 countries.

We understand that you need a career as unique as you are. Whether you want to advance your existing expertise or try something completely different, we are committed to your growth.

Why Work With Us

At Magna, our engineering team is advancing mobility for everyone and everything. Joining this team means being a part of the design, development, and manufacturing of the world’s most advanced mobility technology. Innovations that move families, shape communities, and improve lives. You can follow your passions and shape your own career path.

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Magna International Teams

Team
Organized for Innovation
About our Teams

Magna International Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Majority of roles are hybrid with flexibility. Please speak with our recruiting team for specific details on hybrid work.

Typical time on-site: Not Specified
HQGlobal Headquarters - Aurora, Ontario, Canada
Bangalore, Karnataka, India
Graz, Austria
Lowell, Massachusetts
Monterrey, Mexico
Munich, Germany
Pune, Maharashtra, India
Sailauf, Germany
Saltillo, Mexico
US Headquarters - Troy, Michigan
Learn more

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