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Software Engineer - Controls

Join Applied Intuition as a Software Engineer to develop high-performance controls for autonomous vehicles in a dynamic team environment.

Location
Sunnyvale, California, United States
Compensation
Not disclosed
Level
mid
Type
full time · On-site

Posted by employer 1 day ago

First seen on Joblaze 44 minutes ago

Last verified on the company career page 44 minutes ago

Apply at Applied Intuition → Save job Scanned from appliedintuition.com

What you'll build

  • Design and implement controls modules for autonomous navigation
  • Characterize vehicle dynamics for tailored controls solutions
  • Evaluate academic research for optimal-control-based solutions
  • Diagnose system software and functional driving issues
  • Verify and validate autonomy functions

Must have

  • Bachelors or Masters in mechanical engineering, computer science or related field
  • 2+ years of experience building production software
  • Hands-on experience testing controls solutions on real vehicles
  • Fluency in differential equations and numerical optimization

Nice to have

  • Experience writing safety-critical, high-performance software using modern C++
  • Experience in quadratic programming and nonlinear optimization
  • Experience applying machine learning techniques to vehicle dynamics modeling

Practical constraints

  • In-office work 5 days a week

Requirements

Experience
2+ years
Education
Bachelor's degree

Not disclosed in this posting: compensation, visa sponsorship.

Benefits

401k Match Equity/Stock Options Paid Time Off Health Insurance

Joblaze summary

In this role, the software engineer focuses on developing high-performance control modules for autonomous vehicles, ensuring they meet critical timing requirements. Key skills include expertise in control systems, numerical optimization, and hands-on experience with production-grade vehicles. This position is ideal for someone with a background in mechanical engineering or computer science, along with at least two years of relevant experience. Applied Intuition fosters a collaborative environment, emphasizing practical solutions in the rapidly evolving autonomy sector.

Joblaze insights

  • Listed today — first seen on Joblaze November 12, 2026. Last confirmed on Applied Intuition's careers page November 12, 2026.
  • This exact title is also open at 1 other location at Applied Intuition: Tokyo.
  • C++ appears in 10.3% of 475 comparable mid ai/ml roles in United States; numerical optimization appears in 0.2% of 475 comparable mid ai/ml roles in United States.

Quick facts

Is the Software Engineer - Controls role remote?
No — this is an on-site role in Sunnyvale, California, United States.
How much experience is required?
At least 2 years of relevant experience for this Software Engineer - Controls role.
Where is the role based?
Applied Intuition is hiring for this position in Sunnyvale, California, United States.
What's the tech stack?
Joblaze extracted these technologies from the posting: C++, Differential Equations, MPPI control, Numerical Analysis, Physics, nonlinear MPC.
What seniority level is this role?
Applied Intuition targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Software Engineer - Controls role at Applied Intuition.

From the original posting

About the role

We are looking for a software engineer with expertise in control of autonomous vehicles or mobile robots. Among your responsibilities will be the development of controls modules that must be high performance due to critical timing constraints.

In addition to your engineering contributions, by working in our dynamic and customer-focused team culture, you will contribute to and learn from best practices in the nascent autonomy industry. We move fast and we focus on excellence, for our products and for our business. If you are hands-on and looking for a place to have a multiplying effect on making autonomous systems a reality, Applied Intuition is the place for you!

At Applied Intuition, you will:

  • Design and implement controls modules that can be deployed onto vehicles for autonomous navigation

  • Characterize the dynamics of our customers’ vehicles to create tailored controls solutions and to reduce the gap between simulation and real-world dynamics

  • Evaluate and utilize academic research to create optimal-control-based solutions using techniques like nonlinear MPC and MPPI control

  • Diagnose system software and functional driving issues on target platforms, both on-road and in simulation, and drive them to the root cause.

  • Perform in-vehicle testing: run autonomous drive missions, collect data, and close the loop from field failures to fixes.

  • Verify and validate autonomy functions from test-case design through fault injection in SIL/HIL and in-vehicle environments.

  • Contribute to functional and safety requirements and support DFMEA-style failure analysis for safety-critical vehicle functions.

  • Collaborate with customers’ engineers and manage customer relationships

We're looking for someone who has:

  • Passion about tackling challenging control problems involving a wide array of vehicles in various environments

  • Bachelors or Masters in mechanical engineering, computer science or related field with coursework or research experience in controls

  • 2+ years of experience building production software using modern software practices

  • Hands-on experience testing controls solutions on real, production-grade vehicles

  • Fluency in differential equations, numerical optimization, numerical analysis, and physics

  • Enthusiasm for coming up with practical solutions to cutting-edge challenges in a fast-paced environment, and building towards an end-to-end strategy

Nice to have:

  • Experience writing safety-critical, high-performance software using modern C++

  • Experience in quadratic programming and nonlinear optimization to create robust and performant controllers

  • Experience applying machine learning techniques to vehicle dynamics modeling

Standard company text repeated across Applied Intuition's postings is omitted here.

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