Senior Software Engineer - Perception
Join Applied Intuition as a Senior Software Engineer to develop perception systems for L4 autonomous trucks.
Posted by employer 3 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 22 hours ago
Skills & Technologies
Requirements
- Experience
- 5+ years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In the role of Senior Software Engineer for Perception at Applied Intuition, the individual will focus on developing and deploying perception systems for Level 4 autonomous trucks, ensuring safety and reliability through rigorous testing. Key skills include expertise in machine learning, particularly in 3D object detection and sensor fusion, with proficiency in Python and C++. This position is ideal for seasoned professionals with a background in robotics or computer vision, particularly those experienced in safety-critical software development. The team operates in a fast-paced environment, collaborating closely with various engineering disciplines to enhance autonomous vehicle capabilities
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.
- Python appears in 52.2% of 552 comparable senior ai/ml roles in United States; 3D object detection appears in 0.2% of 552 comparable senior ai/ml roles in United States.
Quick facts
- Is the Senior Software Engineer - Perception role remote?
- No — this is an on-site role in Tokyo.
- How much experience is required?
- At least 5 years of relevant experience for this Senior Software Engineer - Perception 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: 3D object detection, C++, Machine Learning, PyTorch, Python, multi-object tracking.
- What seniority level is this role?
- Applied Intuition targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Software Engineer - Perception role at Applied Intuition.
From the original posting
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.
Standard company text repeated across Applied Intuition's postings is omitted here.