Perception Engineer: Object Modeling

Tensor Auto; San Jose (CA); On-site; USD 75,000 - 350,000; Full time

Job summary

Tensor seeks engineers to advance perception for autonomous driving. You will post-process outputs from diverse sensors, track objects, and estimate kinematics to support a robust perception stack used in automotive-grade autonomous systems.

Requirements include strong C++, data structures, algorithms, and hands-on 3D point cloud processing. Experience with CUDA/OpenCL and ML libraries is highly valued. This role is based in Silicon Valley with on-site collaboration.

Qualifications

• Strong foundation in data structures, algorithms and kinematics.
• Proficiency in C++ for real-time systems.
• Experience with 3D point cloud processing and perception.
• Knowledge of multi-sensor fusion, MOT or SLAM is a plus.

Responsibilities

• Post-process outputs from deep learning networks across sensors to model objects.
• Track dynamic objects and estimate their states (velocity/trajectory).
• Design metrics to evaluate perception system performance.
• Optimize system performance based on road-test feedback.

Skills

C++ programming

Data structures

Algorithms

Kinematics

Point cloud processing

Computer vision

Multithreading

Tools

CUDA

OpenCL

PCL

Job description

Tensor is an agentic AI company dedicated to building agentic products that empower individual consumers. Our flagship product, the Tensor Robocar, is the world’s first personal Robocar and the first AI agentic vehicle — fully autonomous, automotive-grade, and built for private ownership at scale. Founded in 2016 in Silicon Valley, Tensor is headquartered in San Jose, California, with offices in Barcelona, Singapore, and Dubai. At Tensor, we champion personal AI autonomy and ownership. Our vision is to build a future where everyone owns their own Artificial General Intelligence — a personal AGI that enables more time, freedom, and autonomy. We’re forging an alternative path where AGI serves only you, and is controlled solely by you.

We provide a competitive compensation package, opportunities for professional growth, participation in a discretionary equity incentive plan, and access to a comprehensive company benefits program, subject to eligibility requirements.

Join us to shape the future! Work with brilliant minds on technology transforming automotive industry and make a lasting impact.

Locations

• San Jose, California, US (Salary Range: $75k—$350k USD)
• Barcelona, Catalonia, Spain
• Singapore
• Dubai, UAE

Responsibilities

• Post-process outputs from multiple deep learning networks across diverse sensors (e.g., LiDAR, cameras, radar) to model both dynamic and static objects.
• Track dynamic objects and estimate their kinematic states (e.g., velocity, acceleration, trajectory).
• Design algorithms and metrics to quantitatively evaluate the perception system’s effectiveness (e.g., precision, recall, latency).
• Optimize system performance through iterative improvements based on real-world road test feedback.

Qualifications

• Strong foundation in data structures, algorithms, and kinematics/computer vision principles.
• Proficiency in C++ programming for real-time systems.
• Expertise in at least one of the following domains:
• Point Cloud Perception: Expertise in 3D point cloud processing, including clustering, denoising, registration, object detection, and semantic segmentation.
• Machine Learning: Familiarity with classical algorithms (e.g., Linear Regression, Boosting, Bagging, PCA) and their theoretical underpinnings. Hands-on experience with popular machine learning libraries.
• Performance Optimization: Hands-on experience with CPU/GPU acceleration (SIMD, multithreading, CUDA/OpenCL) and high-performance computing for large-scale data.
• Graphics/Computational Geometry: Experience with computational geometry algorithms (e.g., mesh processing, convex hulls) or 3D graphics optimization techniques.
• Post-Processing: Expertise in multi-object tracking (MOT), sensor fusion, motion modeling, and uncertainty estimation for perception systems.
• SLAM: Familiarity with visual/LiDAR SLAM pipelines (e.g., feature matching, bundle adjustment) and optimization frameworks (e.g., nonlinear least squares, Kalman/particle filters).

We appreciate your interest in joining Tensor. Tensor is an equal employment opportunity employer, dedicated to fostering a respectful, supportive, and inclusive workplace for all. We do not discriminate against, and strictly prohibit harassment of, any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity or expression, religion, national origin, age, disability, military or veteran status, genetic information, or any other characteristic protected by applicable law. Tensor also considers qualified applicants with criminal histories in accordance with applicable laws. We are committed to providing equal opportunities for qualified individuals with disabilities. Tensor is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.