Software Engineer - Controls
Join Applied Intuition as a Software Engineer to develop high-performance controls for autonomous vehicles in challenging off-road environments.
Posted by employer 3 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 12 hours ago
Skills & Technologies
Requirements
- Experience
- 4+ years
- Education
- No formal education required
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In this role, the software engineer focuses on developing control modules for autonomous vehicles navigating challenging off-road terrains. Key skills include expertise in control theory, numerical optimization, and hands-on experience with production software, particularly in C++. This position is ideal for someone with over four years of experience in the field, especially those with a background in mechanical engineering or computer science. The dynamic team at Applied Intuition emphasizes excellence and collaboration, making it a fitting environment for innovative problem solvers.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Applied Intuition's careers page October 27, 2026.
- Machine Learning appears in 10.4% of 481 comparable mid ai/ml roles in United States; MPPI control appears in 0.4% of 481 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 Tokyo.
- How much experience is required?
- At least 4 years of relevant experience for this Software Engineer - Controls role.
- Where is the role based?
- Applied Intuition is hiring for this position in Tokyo.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: C++, MPPI control, Machine Learning, nonlinear MPC, nonlinear optimization, quadratic programming.
- 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 can guide various vehicles over difficult off-road terrain, such as environments with steep slopes and sandy or muddy surfaces. The modules you develop must be high performance due to critical timing, thermal, and power 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 is the place for you!
At Applied, you will:
Design and implement controls modules that can be deployed on off-road 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.
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 challenging off-road environments.
4+ 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.
Nice to have:
MSc or PhD in mechanical engineering or computer science with coursework or research experience in controls.
Experience writing software that is compliant with guidelines for safety-critical C++ code, such as MISRA and AUTOSAR.
Experience using quadratic programming solvers and nonlinear optimization tools such as OSQP, SCS, and CasADi to create robust and performant controllers.
Experience applying machine learning techniques to vehicle dynamics modeling.
Experience writing high-performance C++ code.
Experience working with large industrial vehicles in off-road environments.
Standard company text repeated across Applied Intuition's postings is omitted here.