Senior Software Engineer - Perception
- Salary
- Not stated
- Level
- Senior
- Work type
- On-site · Tokyo
- Visa
- Not stated
Open. First seen 9 September 2026.
The team: Software Engineering - Self-Driving HIRES STEADILY
This role is one of 39 open in Software Engineering - Self-Driving. 2 were posted in the last 30 days and the oldest in July: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
C++ (27 of 39), Machine Learning (18 of 39), Python (18 of 39), Deep Learning (9 of 39), Linux (6 of 39), PyTorch (6 of 39), C (4 of 39)
OTHER ROLES ON THIS TEAM
- Vehicle Controls - Technical Lead posted Oct 2
- Software Engineer - Low Speed Motion Planning & Control posted Oct 2
- Prediction and Planning - Technical Lead posted Sep 10
- Self-Driving System (SDS) Engineering Head posted Aug 18
- Robotics Integration Engineer (TL) posted Aug 13
- Software Engineer - Embedded Systems posted Aug 7
- Machine Learning Engineer - Behavior and Planning posted Jul 29
- Perception Engineer - Offroad posted Jul 21
- Technical Program Manager - Core Autonomy posted Jul 20
- Software Engineer - Perception (Fallback Stack) posted Jul 19
- Software Engineer - Controls posted Jun 30
- Senior Software Engineer - Planning posted Jun 30
- Software Engineer - Autonomy posted Jun 30
- Engineer Manager - Perception, Self-Driving Systems posted Jun 10
- Function Developer – Parking posted Apr 15
- Autonomy Verification Engineer posted Apr 10
- Technical Lead, Mining Autonomy Platform posted Apr 4
- Software Engineer - Python posted Mar 18
- Software Engineer - Motion Planning (Fallback Stack) posted Mar 12
- Field Deployment Engineer posted Mar 10
- Software Engineer - Systems Engineering AI Tooling posted Mar 7
- Software Engineer - Backend posted Mar 5
- Software Engineer - C++ posted Mar 4
- Software Engineer (SDS Core - Evaluation) posted Feb 10
- Software Engineer Low Speed Motion Planning & Control Planning posted Feb 5
- Software Engineer - Mapping and Localization posted Feb 5
- Planning - Technical Lead posted Nov 21
- Software Engineer - E2E Autonomy posted Nov 5
- Machine Learning Software Engineer posted Oct 23
- Engineering Manager - Behavior posted Sep 24
- Software Engineer - Performance Optimization posted Sep 11
- Systems Engineer posted Mar 10
- ML Runtime Optimization Engineer posted Mar 5
- System Safety Engineer, Autonomy Trucking posted Nov 15
- ML Perception Software Engineer posted Sep 8
- Triage Engineer posted Jun 19
- Scenario Engineer, Mining Autonomy posted Feb 23
- Software Engineer - Planning posted Jul 29
From the team and dates on Applied Intuition's own job board.
About the role
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy.
Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo.
Learn more at applied.co.
We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions
About the role
As a Perception Software Engineer on the Autonomy team, you will build the perception system for L4 autonomous trucks operating at highway speeds. The stack combines state-of-the-art machine learning - multi-modal 3D detection, BEV representations, learned tracking - with rigorous classical perception: state estimation, multi-object tracking, and sensor fusion. You will own problems end-to-end, from model architecture and training through onboard deployment and on-road validation.
This is safety-critical software: every capability passes formal simulation, closed-course, and safety sign-off gates before it reaches public roads.
You will collaborate daily with behavior/planning engineers, systems and safety engineers, and validation teams.
At Applied Intuition, you will:
- Design, train, and deploy deep learning models for 3D object detection across LiDAR, camera, and radar sensors.
- Build multi-sensor fusion architectures that combine independent detection and classification streams.
- Characterize perception failure modes, build targeted evaluation sets, and hill-climb system-level metrics.
- Build and operate the data engine: shadow-mode comparison against production, automated data mining, and retraining loops.
- Contribute to camera- and LiDAR-based localization perception under degraded conditions.
- Take your work through the full safety validation pipeline before it operates on public roads.
We're looking for someone who has:
- Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field.
- 5+ years of professional experience in ML-based perception, computer vision, or robotics.
- Strong proficiency in Python and C++.
- Hands-on experience training and deploying deep learning models in production (e.g., PyTorch).
- Solid grounding in classical perception: multi-object tracking, state estimation, and 3D geometry.
Nice to have:
- Experience working in modern ML-based perception for autonomous systems.
- Experience with multi-sensor calibration and fusion.
- Experience optimizing models for onboard/embedded GPU inference.
- Background in safety-critical or automotive software development.
- Experience in a startup or fast-paced environment.
Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin.
These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.
FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact careers@applied.co. We will work with you!
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