Senior Staff DSP Engineer, LiDAR

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.

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We’re seeking talented and self-motivated engineers to join our LiDAR and broader sensor team.

Locations

• San Jose, California, US (Salary Range: $75k—$300k USD)
• Barcelona, Catalonia, Spain

Responsibilities

• Develop DSP algorithms for point cloud processing that target an embedded hardware platform such as a microcontroller, digital signal processor, or FPGA
• Understand and translate Matlab models to Verilog, HLS, C/C++ and OpenCL
• Develop embedded software components running on an RTOS
• Create test harnesses to verify algorithms
• Develop tools for verification and debug
• Create documentation for new algorithms
• Assist in development and integration of inter-processor communication (IPC) as part of a larger embedded system

Qualifications

• Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science or equivalent
• 6 years of industry experience in embedded systems working on digital signal processing
• Solid foundation and experience using C and C++ in the embedded domain
• Experience using scripting or general-purpose programming language to solve problems
• First-hand expertise using an RTOS including definition and scheduling of tasks, integration of board support packages (BSPs), partitioning and use of memory, efficient utilization of I/O, and use and creation of device drivers
• General understanding of microcontroller peripherals including ADCs, DACs, Flash, EEPROM, timers, and watchdogs

Preferences

• Master’s Degree in Electrical Engineering, Computer Engineering or Computer Science
• Experience using HLS, Verilog, CUDA, or OpenCL
• Understanding of ethernet networking packet formats, including IP, TCP, UDP and VLAN tagging
• Development of signal processing or control systems algorithms targeted for an embedded system
• Experience working on optical systems, including lasers, photodiodes and cameras
• Experience working on high-speed data paths
• Knowledge of full lifecycle processes in safety-critical industries such as automotive, medical, or military with a particular interest in first-hand ISO 26262 and Automotive SPICE experience

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.