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Temporary Nvidia Autonomous Driving Jobs in Rochester, MI

Aptiv PLC

Software Architect

Troy, MI · On-site

... enable autonomous driving, advanced driver-assistance systems (ADAS), connected mobility, and ... Experience with embedded processors and platforms from NVIDIA, Qualcomm, NXP, Renesas, AMD, Intel ...

Aptiv

Software Architect

Troy, MI

... enable autonomous driving, advanced driver-assistance systems (ADAS), connected mobility, and ... Experience with embedded processors and platforms from NVIDIA, Qualcomm, NXP, Renesas, AMD, Intel ...

Valeo

Site HR Business Partner

Auburn Hills, MI · On-site

Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and ... Manages in quantity & quality the permanent & temporary headcounts; for Production: participates to ...

Valeo

Site HR Business Partner

Auburn Hills, MI · On-site

Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and ... Manages in quantity & quality the permanent & temporary headcounts; for Production: participates to ...

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How much do temporary nvidia autonomous driving jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for temporary nvidia autonomous driving in Rochester, MI is $19.67, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $19.90 per hour, depending on experience, location, and employer.

What is a temporary Nvidia autonomous driving job?

Temporary Nvidia Autonomous Driving jobs are short-term positions at Nvidia focused on developing, testing, or supporting autonomous vehicle technologies. These roles may involve software engineering, data analysis, system testing, or support functions related to self-driving car platforms. Temporary roles are typically project-based, offering opportunities to work on cutting-edge artificial intelligence and robotics applications within the autonomous driving sector. Such positions provide valuable experience in the fast-evolving field of automated vehicles, even if they are not permanent.

What skills and qualifications are needed for a temporary Nvidia autonomous driving engineer?

To excel as a Temporary Nvidia Autonomous Driving Engineer, you need strong programming skills (especially in C++ and Python), a solid background in robotics or computer vision, and typically a degree in computer science, engineering, or a related field. Experience with autonomous vehicle platforms, Nvidia DRIVE, deep learning frameworks (like TensorFlow or PyTorch), and familiarity with sensor fusion technologies are highly valued. Excellent problem-solving abilities, teamwork, and adaptability are crucial soft skills for integrating new technologies and collaborating across multidisciplinary teams. These competencies ensure safe, innovative solutions in the rapidly evolving field of autonomous vehicles.

What are common challenges faced by a temporary Nvidia autonomous driving specialist, and how can applicants prepare for them?

Temporary specialists in Nvidia's Autonomous Driving division often encounter fast-paced project timelines and rapidly evolving technical requirements. Adapting quickly to new tools, frameworks, and proprietary systems is essential, as is a willingness to collaborate across multidisciplinary teams such as software engineering, data annotation, and hardware integration. Applicants can prepare by demonstrating strong foundational knowledge in machine learning, computer vision, and robotics, as well as effective communication skills to navigate a dynamic, innovative environment.

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Temporary Nvidia Autonomous Driving jobs near you

Senior Engineer, Motion Planning and Controls, Autonomous Driving

Lucid Motors

Southfield, MI

$95K - $131K/yr

Full-time

Posted 23 days ago

Lucid Motors rating

7.4

Company rating: 7.4 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

17th of 45 rated automakers

Job description

Senior Software Engineer, Motion Planning, Parking

Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility. We plan to lead in this new era of luxury electric by returning to the fundamentals of great design - where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience. Come work alongside some of the most accomplished minds in the industry. We're providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.

Role Overview

We are seeking a Senior Motion Planning Engineer to support the auto-parking and low-speed autonomy stack. This role focuses on trajectory optimization, path smoothing, and local planning, with direct impact on parking features such as Auto Park, Summon, and Park-to-Park. The ideal candidate will combine strong algorithmic foundations with production-grade software execution, driving both system performance and scalability. This role is based in Southfield, MI. and requires employees to be onsite five days a week.

Key Responsibilities:

  • Motion Planning & Trajectory Optimization
    • Develop and enhance trajectory optimization algorithms (e.g., iLQR / MPC-based approaches) for low-speed scenarios
    • Design and implement constraint-aware optimization, including
    • Improve local planners to generate control-friendly trajectories
  • System Architecture & Performance Optimization
    • Refactor and scale planning stack architecture for maintainability and extensibility
    • Optimize CPU usage and explore parallel/GPU acceleration opportunities
    • Improve system-level behaviors such as:
      • Stability under dynamic constraints
      • Scalability across scenarios and vehicle platforms
  • Debugging, Validation, and Production Integration
    • Investigate and resolve real-world issues such as: Curvature discontinuities, velocity/trajectory mismatches, and edge-case steering behavior
    • Validate solutions using:
      • Simulation and vehicle logs
      • Multi-scenario testing and benchmarking
  • Research, Prototyping, and Innovation
    • Evaluate and prototype new approaches (e.g., learned models, barrier functions, ML-based planning)
    • Benchmark and compare planning algorithms for production viability
    • Contribute to next-gen planning initiatives, including ML-driven planning
  • Cross-Team Collaboration & Knowledge Transfer
    • Drive technical discussions and share algorithm insights across teams
    • Maintain high-quality documentation and support knowledge transfer
    • Track work via Jira with clear metrics and reproducible results

Required Qualifications:

  • M.S. or Ph.D. in Robotics, Control, Electrical Engineering, or related field
  • 2+ years of software development experience in autonomous driving, ADAS, or robotics, with a focus on large-scale data and real-time systems
  • Strong programming skills in C/C++ with solid understanding of software engineering design principles and best practices
  • Proven track record of delivering ADAS/AD features through the full production lifecycle: requirements analysis, architecture/design, implementation, unit testing, feature tuning, SIL/HIL validation, and in-vehicle deployment
  • Hands-on experience with software integration on embedded platforms (e.g., NVIDIA Xavier/Orin, Infineon Aurix)
  • Demonstrated ability to build reliable production-grade systems, including large-scale architectures, evaluation pipelines, and performance-optimized models

Preferred Qualifications:

  • ML-based planning approaches
  • GPU or parallel computing for planning
  • Track record of production deployment in real vehicles
 
 
 
At Lucid, we don't just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.

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About Lucid Motors

Sourced by ZipRecruiter

Lucid Motors is a highly innovative electric vehicle manufacturer located in Newark, CA, USA. Primarily engaged in the automotive industry, its mission is to elevate electric vehicles' standing and transform the way people travel. The company was founded in 2007 by Bernard Tse and Sam Weng as Atieva, a name under which it initially focused on battery technology. However, it pivoted towards automotive manufacturing and rebranded as Lucid Motors in 2016. The company is committed to making luxury, sustainable electric vehicles that break norms and set new standards with top-notch technology and engineering. Their mission aligns with their core values, which are centered around innovation, sustainability, and excellence. Notably, Lucid Motors launched the Lucid Air in 2020, an all-electric sedan well-received for its advanced features and impressive mileage.

Industry

Manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Newark, CA, US

Year founded

2007

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