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Nvidia Controls Engineer Jobs (NOW HIRING)

Pronto

Robotics Controls Engineer

San Francisco, CA · On-site

$119K - $161K/yr

What you'll do We're looking for a Robotics Controls Engineer to develop and maintain the core ... NVIDIA Jetson, GPS/RTK, IMUs, CAN interfaces * Testing: Field testing on haul trucks, log replay ...

Nuro

Senior/Staff Controls Engineer

Mountain View, CA · On-site

$193K - $352K/yr

Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price ... As a Senior/Staff Controls Engineer, you'll design and deploy production controls software that ...

Nuro

Senior/Staff Controls Engineer

Mountain View, CA · On-site

$193K - $352K/yr

Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price ... As a Senior/Staff Controls Engineer, you'll design and deploy production controls software that ...

Nuro

Senior/Staff Controls Engineer

Mountain View, CA

$193K - $352K/yr

Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price ... As a Senior/Staff Controls Engineer, you'll design and deploy production controls software that ...

Pronto

Senior Robotics Controls Engineer

San Francisco, CA · On-site

$176K - $240K/yr

What you'll do We're looking for a Robotics Controls Engineer to develop and maintain the core ... NVIDIA Jetson, GPS/RTK, IMUs, CAN interfaces * Testing: Field testing on haul trucks, log replay ...

Ayar Labs

Principal Engineer, Laser Controls

San Jose, CA · On-site

$200K - $260K/yr

Principal Laser Controls Engineer Location: San Jose (on-site) Ayar Labs is shattering AI data ... Backed by industry giants like NVIDIA, Mediatek, AMD and Intel and manufactured in partnership with ...

Caterpillar Brazil

$113 - $183/hr

Sensor Rendering Engineer (NVIDIA Omniverse)Skip to main contentThis site uses cookies to create a ... Collaborate with autonomy, perception, controls, and digital twin teams to define sensor ...

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Nvidia Controls Engineer information

See salary details

$55K

$96.6K

$131K

How much do nvidia controls engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for nvidia controls engineer in the United States is $96,574.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $108,000.00 per year, depending on experience, location, and employer.

What does an Nvidia controls engineer do?

An Nvidia Controls Engineer designs, develops, and implements control systems for hardware and software products, such as GPUs, autonomous machines, or robotics. They work on creating algorithms and integrating hardware to ensure optimal performance, safety, and efficiency of Nvidia's products. Controls Engineers at Nvidia collaborate with cross-functional teams, including hardware, software, and testing engineers, to deliver innovative solutions for automation and intelligent systems.

What are some typical projects a Nvidia controls engineer might work on, and how do these projects integrate with other engineering teams?

As a Controls Engineer at Nvidia, you can expect to work on projects involving the design, implementation, and optimization of automation and control systems for advanced manufacturing or testing equipment. These projects often require close collaboration with hardware, software, and robotics teams to ensure systems are integrated seamlessly and operate efficiently. You'll regularly participate in cross-functional meetings to align on requirements, troubleshoot issues, and improve system performance. This collaborative environment provides exposure to cutting-edge technology and offers opportunities to learn from experts in various engineering disciplines.

What are the key skills and qualifications needed to thrive as a Nvidia controls engineer, and why are they important?

To thrive as an Nvidia Controls Engineer, you need expertise in automation control systems, electrical engineering, and programming languages like Python or C++, typically supported by a relevant engineering degree. Familiarity with PLCs, SCADA systems, robotics platforms, and certifications such as Certified Automation Professional (CAP) are commonly required. Strong problem-solving skills, attention to detail, and effective communication help you excel in collaborative, high-stakes environments. These skills and qualifications ensure efficient system integration, innovation, and reliability in advanced manufacturing and automation projects.

What is the difference between Nvidia Controls Engineer vs Nvidia Hardware Engineer?

AspectNvidia Controls EngineerNvidia Hardware Engineer
Required CredentialsBachelor's in Engineering, Computer Science, or related field; experience with control systemsBachelor's or higher in Electrical Engineering, Computer Engineering, or related; knowledge of hardware design
Work EnvironmentDesigning and testing control algorithms, software development, simulationHardware design, testing, prototyping, and integration
Industry UsageAutomotive, robotics, industrial automationGPU, AI hardware, consumer electronics

While both roles require engineering backgrounds and involve working within Nvidia's tech ecosystem, Nvidia Controls Engineers focus on developing control software and algorithms, whereas Nvidia Hardware Engineers work on designing and testing physical hardware components. The roles complement each other in product development but differ in their core responsibilities and skill sets.

Does Nvidia Controls Engineer hire controls engineers?

Nvidia Controls Engineer roles typically involve designing and implementing control systems for Nvidia products and technologies. The company often hires controls engineers with skills in automation, control theory, and experience with tools like MATLAB or PLC programming. Job openings depend on current project needs and may require relevant certifications or experience in embedded systems and hardware integration.
Infographic showing various Nvidia Controls Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $96,574 per year, or $46.4 per hour.

Robotics Controls Engineer

ATOMS Careers page

San Francisco, CA • On-site

$119K - $161K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 17 days ago

Job description

Who we are
Atoms is building the machines that power the next era of progress.
Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We're changing that.
Atoms builds Physical AI- real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive.
This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don't just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale.
We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life.
If you want to work on hard problems with real-world impact, join us.
What you'll do
We're looking for a Robotics Controls Engineer to develop and maintain the core control systems that enable autonomous haul trucks to operate safely in mining environments. You'll work on localization, path following, longitudinal control, and steering systems that run on 200+ ton vehicles. Responsibilities include the following:
  • Design, implement, and tune control algorithms for autonomous vehicle systems
  • Build Localization & State Estimation, Longitudinal Control, Lateral and Control Navigation.
  • Develop state estimation pipelines that fuse multiple sensor modalities
  • Analyze system performance through simulation and field testing
  • Debug control issues using logged data and identify root causes
  • Collaborate with perception, planning, and hardware teams to integrate control systems
  • Write production-quality Python code that runs reliably and efficiently
  • Travel note: This role requires periodic travel to customer sites (up to 15%)
  • Schedule note: Some schedule flexibility may be required during deployments

What we're looking for
  • BS/MS/PhD in Robotics, Mechanical Engineering, Aerospace Engineering, Electrical Engineering or related field required
  • 2+ years of professional (non-internship) software development experience
  • Strong foundation in classical control theory (PID, lead/lag compensation, stability analysis)
  • Experience with state estimation (Kalman filters, EKF/UKF)
  • Proficiency in Python and NumPy/SciPy for numerical computing
  • Understanding of vehicle dynamics and kinematics
  • Ability to read and debug real-time control code
  • Experience deploying localization and controls algorithms on real-world systems
  • Experience with Model Predictive Control (MPC)
  • Familiarity with path following algorithms (Stanley, Pure Pursuit)
  • Background in signal processing and filter design
  • Knowledge of system identification techniques
  • Experience with heavy equipment or off-highway vehicles
  • Knowledge of CAN bus and vehicle interfaces
  • ROS or similar robotics middleware experience
  • Familiarity with modern ML techniques for controls problems

Technical Environment
  • Languages: Python (primary), C++ (optimization-critical paths)
  • Libraries: NumPy, SciPy
  • Hardware: NVIDIA Jetson, GPS/RTK, IMUs, CAN interfaces
  • Testing: Field testing on haul trucks, log replay, simulation

Why join us
At Atoms, you'll work on one of the defining challenges of our time-bringing automation into the physical world to drive real, lasting impact. We exist to uncover valuable unknown truths and turn them into progress, which means constantly pushing beyond what's known and building what doesn't yet exist. The work is ambitious and often challenging, but it's grounded in a shared sense of purpose and a team committed to seeing it through together. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team-so we invest in both, creating an environment where you can do your best work and grow.
What else you need to know
This role is based in our San Francisco office location. As a company driven by innovation and continuous change, close collaboration is essential. We're constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That's why all of our office-based teams work onsite, five days a week.
The base salary range for this role is $119,000 - $161,000 per year.
Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.
Base salary is just one part of your total rewards package. You may also be eligible for equity awards.
Benefits Summary (USA Full-Time Exempt Employees):
  • Medical, Dental, Vision, Disability, and Life Insurance
  • Flexible Spending Account / Health Savings Account Options
  • 401(k)
  • Equity
  • Sick Time, Unlimited Flexible Time Off, and Paid Holidays
  • Paid Parental Leave
  • Pre-Tax Commuter Benefit Plan
  • Team lunch in our SoMa office every Tuesday and Thursday

Benefits are subject to change at the company's discretion.
Atoms accepts applications on an ongoing basis.
Ready to join us as we serve those who serve others?
#LI-Onsite

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