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Autonomous Driving Engineer Jobs in Colorado (NOW HIRING)

Autonomy Engineer

Arvada, CO · On-site

$100K - $130K/yr

Lunar Outpost is dedicated to creating a sustainable presence in space, while also driving positive impacts here on Earth. We are seeking a talented, experienced Autonomy Engineer. As an Autonomy ...

Lunar Outpost is dedicated to creating a sustainable presence in space, while also driving positive impacts here on Earth. We areseekinga talented, experiencedAutonomy Engineer. As an Autonomy ...

Lunar Outpost is dedicated to creating a sustainable presence in space, while also driving positive impacts here on Earth. We areseekinga talented, experiencedAutonomy Engineer. As an Autonomy ...

Working on cutting-edge technology, driving the future of autonomous vehicle solutions in industry ... technician or engineer in the automotive, robotic or similar industries. ● Possess a valid ...

Systems Engineer - GNC

Arvada, CO · On-site

$90K - $120K/yr

Lunar Outpost is dedicated to creating a permanent presence in space, while also driving positive ... Working at the intersection of autonomy, robotics, and space exploration, you will aid in defining ...

Lunar Outpost is dedicated to creating a permanent presence in space, while also driving positive ... Working at the intersection of autonomy, robotics, and space exploration, you will aid in defining ...

Lunar Outpost is dedicated to creating a permanent presence in space, while also driving positive ... Working at the intersection of autonomy, robotics, and space exploration, you will aid in defining ...

Senior Mechatronics Engineer

Brighton, CO · On-site

$160K - $180K/yr

The Company Outrider, the pioneer in autonomous yard operations for logistics hubs, helps large ... The ideal candidate will embrace our goal to drive zero-emission, self-driving vehicle adoption ...

The Company Outrider, the pioneer in autonomous yard operations for logistics hubs, helps large ... The ideal candidate will embrace our goal to drive zero-emission, self-driving vehicle adoption ...

Supply Chain Manager

Longmont, CO · On-site

$120K - $140K/yr

... autonomous robotic platforms. This role is responsible for material availability, supplier ... You will establish structure where little exists today, driving supplier accountability ...

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Showing results 1-20

Autonomous Driving Engineer information

See Colorado salary details

$62K

$144.4K

$206.6K

How much do autonomous driving engineer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for autonomous driving engineer in Colorado is $144,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $206,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Autonomous Driving Engineer position, and why are they important?

To thrive as an Autonomous Driving Engineer, you need strong expertise in robotics, computer vision, sensor fusion, and machine learning, generally backed by a relevant engineering or computer science degree. Familiarity with programming languages like Python or C++, frameworks such as ROS (Robot Operating System), and simulation tools like CARLA or MATLAB is typically required. Problem-solving, teamwork, and clear communication are important soft skills that help you excel when debugging complex systems and collaborating with multidisciplinary teams. These skills ensure the ability to develop innovative autonomous driving solutions that are safe, efficient, and effective in real-world environments.

What are some common challenges Autonomous Driving Engineers face on the job?

Autonomous Driving Engineers often work on highly complex systems where integrating hardware and software, ensuring sensor reliability, and maintaining safety standards can pose significant challenges. Collaborating across teams—such as hardware engineers, data scientists, and software developers—is a daily part of the role, requiring strong coordination and flexibility. Debugging scenarios in both real-world and simulated environments, handling vast datasets, and keeping up with rapidly evolving technology are also regular parts of the job. These challenges make the work both demanding and rewarding, offering continual learning and professional growth opportunities.

What is an Autonomous Driving Engineer job?

An Autonomous Driving Engineer develops software, algorithms, and systems that enable vehicles to drive autonomously. They work on perception, sensor fusion, path planning, and control systems using AI, computer vision, and robotics. Their role involves testing and refining autonomous systems in simulations and real-world environments to ensure safety and reliability.

What are the most commonly searched types of Autonomous Driving Engineer jobs in Colorado? The most popular types of Autonomous Driving Engineer jobs in Colorado are:
What are popular job titles related to Autonomous Driving Engineer jobs in Colorado? For Autonomous Driving Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Autonomous Driving Engineer jobs in Colorado look for? The top searched job categories for Autonomous Driving Engineer jobs in Colorado are:
Senior Deep Learning Engineer - Autonomous Vehicles

Senior Deep Learning Engineer - Autonomous Vehicles

Nvidia

Boulder, CO • On-site

$108K - $148K/yr

Full-time

Posted 4 days ago


Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people.

Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are in search of a Senior Deep Learning Systems Engineer to propel NVIDIA's Autonomous Vehicles project forward. In this role, you will build and scale training libraries and infrastructure that make end-to-end autonomous driving models possible. By enabling training on thousands of GPUs and massive datasets, you will accelerate iteration speed and improve safety, working closely with research and platform teams across NVIDIA.

What you'll be doing:

  • Crafting, scaling, and hardening deep learning infrastructure libraries and frameworks for training on multi-thousand GPU clusters.

  • Improving efficiency throughout the training stack: data loaders, distributed training, scheduling, and performance monitoring.

  • Building robust training pipelines and libraries to handle massive video datasets and enable rapid experimentation.

  • Collaborating with researchers, model engineers, and internal platform teams to enhance efficiency, minimize stalls, and improve training availability.

  • Owning core infrastructure components such as orchestration libraries, distributed training frameworks, and fault-resilient training systems.

  • Partnering with leadership to ensure infrastructure scales with growing GPU capacity and dataset size while maintaining developer efficiency and stability.

What we need to see:

  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, or a related field, or equivalent experience.

  • 12+ years of professional experience building and scaling high-performance distributed systems, ideally in ML, HPC, or large-scale data infrastructure.

  • Extensive knowledge in deep learning frameworks (PyTorch is preferred), large scale training (DDP/FSDP, NCCL, tensor/pipeline parallelism), and performance profiling.

  • Strong systems background: datacenter networking (RoCE, IB), parallel filesystems (Lustre), storage systems, schedulers (Slurm, Kubernetes, etc.).

  • Proficiency in Python and C++, with experience writing production-grade libraries, orchestration layers, and automation tools.

  • Ability to work closely with multi-functional teams (ML researchers, infra engineers, product leads) and translate requirements into robust systems.

Ways to stand out from the crowd:

  • Shown experience scaling large GPU training clusters with >1,000 GPUs.

  • Contributions to open-source ML systems libraries (e.g., PyTorch, NCCL, FSDP, schedulers, storage clients).

  • Expertise in fault resilience and high availability, including elastic training and large-scale observability.

  • Tried leadership skills as a hands-on technical authority, encouraging others and establishing guidelines for ML systems engineering.

  • Familiarity with reinforcement learning (RL) at scale, particularly in the context of simulation-heavy workloads.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993