ZipRecruiter

Log In

2

Full Time Nvidia Autonomous Driving Jobs in Michigan

Nexteer Automotive Corporation

Engineering Co-Op

Saginaw, MI · On-site

$15.50 - $20.25/hr

Candidate must be a full-time student (12 or more credits) during the Fall and Winter semesters ... autonomous driving. With approximately 13,000 employees and operations in more than 20 ...

Nexteer Automotive Corporation

Engineering Co-Op

Saginaw, MI · On-site

$15.50 - $20.25/hr

Candidate must be a full-time student (12 or more credits) during the Fall and Winter semesters ... autonomous driving. With approximately 13,000 employees and operations in more than 20 ...

previous page

Showing results 41-60

All JobsNvidia Autonomous Driving JobsFull Time Nvidia Autonomous Driving JobsFull Time Nvidia Autonomous Driving Jobs in Michigan

Full Time Nvidia Autonomous Driving information

What is the difference between Full Time Nvidia Autonomous Driving vs Full Time Nvidia Perception Engineer?

AspectFull Time Nvidia Autonomous DrivingFull Time Nvidia Perception Engineer
Required CredentialsDegree in Computer Science, Electrical Engineering, or related field; experience with AI, deep learning, and automotive systemsDegree in Computer Science, Electrical Engineering, or related field; expertise in perception algorithms, sensor fusion, and computer vision
Work EnvironmentAutomotive industry, R&D labs, autonomous vehicle developmentAutonomous vehicle perception systems, sensor data processing, real-time software development
Employer & Industry UsageNvidia, automotive OEMs, autonomous vehicle startupsNvidia, automotive OEMs, perception-focused autonomous vehicle teams

Full Time Nvidia Autonomous Driving roles focus on developing complete autonomous vehicle systems, including perception, planning, and control. In contrast, Full Time Nvidia Perception Engineers specialize in sensor data processing and perception algorithms. Both roles require similar technical backgrounds but differ in scope, with perception engineers concentrating on sensor fusion and computer vision within the broader autonomous driving ecosystem.

What are the most commonly searched types of Nvidia Autonomous Driving jobs in Michigan?

The most popular types of Nvidia Autonomous Driving jobs in Michigan are:

What are popular job titles related to Full Time Nvidia Autonomous Driving jobs in Michigan?

For Full Time Nvidia Autonomous Driving jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Full Time Nvidia Autonomous Driving jobs in Michigan look for?

The top searched job categories for Full Time Nvidia Autonomous Driving jobs in Michigan are:

Full Time Nvidia Autonomous Driving jobs near you
Infographic showing various Full Time Nvidia Autonomous Driving job openings in Michigan as of August 2026, with employment types broken down into 67% Full Time, 29% Part Time, 3% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Manager, Engineering - Offline Perception

Torc Robotics

Ann Arbor, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

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
You'll lead the Offline Perception team within Data Loop and Simulation. The team explores the advantages of offline processing - building auto-labeling pipelines that combine different models and data-processing approaches to produce multi-modal, high-quality training data (2D, 3D, semantic segmentation, dense depth, and related modalities) that feeds online perception model development across Torc. You'll own strategy and execution for this data-to-model path, partnering with auto-tagging, data delivery, human annotation, and autonomy stakeholders on priorities, quality, and delivery.
What You'll Do
  • Lead, grow, and set technical direction for the Offline Perception team - hiring, mentoring, and managing the performance and career growth of engineers and ML engineers.
  • Own the roadmap for offline perception model development and evaluation, from curated datasets through training, benchmarking, and delivery to downstream consumers.
  • Stay technical enough to review and guide architecture decisions across auto-labeling integration, offline perception training and evaluation, and large-scale data pipeline design.
  • Represent the team to senior leadership and cross-functional stakeholders in perception, simulation, and systems - translating strategy into concrete execution plans.
  • Partner with product and peer engineering leaders (including auto-tagging, data delivery, and human annotation) to prioritize the roadmap and resolve cross-team dependencies.
  • Drive process and quality improvements across the offline perception lifecycle - dataset specs, evaluation methodology, and repeatable delivery of production-grade training data.
  • Manage team health and staffing, balancing headcount and skill mix between ML/perception engineering and data pipeline / AI infrastructure needs.

What You'll Need to Succeed
  • BS or MS in Computer Science, Robotics, Electrical Engineering, or a related field, plus 8+ years of software or ML engineering experience, including 2+ years managing engineers.
  • Hands-on experience with auto-labeling for self-driving development - not just model research, but pipelines that produce usable labels at scale.
  • Track record delivering large-scale perception datasets in production contexts - e.g. 2D OD, 3D OD, semantic segmentation, dense depth, and related modalities - with clear quality and delivery ownership.
  • Breadth across perception models and modalities - practical familiarity with different model families, what each is good for, and where they break down (accuracy, scale, latency, annotation cost, generalization).
  • Experience with AI infrastructure and data pipelines - distributed compute and data platforms (e.g. Databricks, Ray, Spark), cloud infrastructure (e.g. AWS), and the tooling needed to train and evaluate at fleet scale.
  • Proven track record leading and scaling technical teams, including hiring, mentoring, and performance management.
  • Experience setting technical strategy and roadmap for ML or data engineering teams, and communicating tradeoffs to senior leadership.
  • Strong communication skills, with the ability to represent team strategy to leadership and peer engineering teams.

Bonus Points!
  • Experience leading ML or data engineering teams in autonomous vehicles or robotics.
  • Familiarity with VLMs, auto-labeling pipelines, or perception model evaluation methodology.
  • Experience managing managers or leading multiple teams simultaneously.
  • Familiarity with scenario description standards such as Pegasus layers.

Perks of Being a 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

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.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: R-102835
Hiring Range for Job Opening
US Pay Range:
$141,500 - $212,300

Apply