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Tensor Jobs in California (NOW HIRING)

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 ...

Senior Product Manager, Tensor SoC - Google Preferred working locations: Mountain View, CA; San Diego, CA. US base salary range for this full‑time position: $183,000-$271,000 plus bonus, equity and ...

Own MLIR dialect design and lowering passes for our AI accelerator -- defining the high-level tensor IR, async / streaming semantics, and sharded-tensor types that bridge ML frameworks to silicon

The Tensor Processing Unit Supply Chain and New Product Introduction team operates at the intersection of machine learning, compilers, and Tensor Processing Unit hardware. In this role, you will ...

Senior AI/ML Engineer

Sunnyvale, CA · On-site

$122K - $167K/yr

Tensor RT INT8/FP16 quantization, DLA offloading, GPU memory management, and latency benchmarking. • Experience with multi-modal sensor fusion and multi-camera detection pipelines is a strong ...

AI Core DV Engineer

Mountain View, CA · On-site

$180K - $320K/yr

About the role Own verification of our AI compute core - tensor pipelines, MAC arrays, accumulator logic, and the compute ↔ memory interconnect. Work with chip-design and software teams driving ...

AI Core DV Engineer

Mountain View, CA · On-site

$47.50 - $54.25/hr

About the role Own verification of our AI compute core - tensor pipelines, MAC arrays, accumulator logic, and the compute memory interconnect. Work with chip-design and software teams driving ...

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Tensor information

See California salary details

$45.4K

$162.9K

$240.3K

How much do tensor jobs pay per year?

As of Jun 17, 2026, the average yearly pay for tensor in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What are Tensor jobs?

Tensor jobs typically refer to roles involving the use or development of tensors, which are mathematical objects used in machine learning and deep learning. These jobs often include positions like machine learning engineer, data scientist, or deep learning researcher, where working with tensor-based libraries such as TensorFlow or PyTorch is common. Responsibilities may include designing and training neural networks, processing multidimensional data, and optimizing machine learning models for performance. Candidates for these roles usually need a strong background in mathematics, programming, and data analysis.

What is a Tensor job?

A Tensor job typically refers to a role involving tensors, which are mathematical objects used in machine learning, AI, and scientific computing. These jobs often require expertise in deep learning frameworks like TensorFlow or PyTorch, where tensors represent multi-dimensional arrays for data processing. A Tensor job can involve designing and optimizing neural networks, performing large-scale data analysis, or working with high-performance computing.

What is the difference between Tensor vs Data Scientist?

AspectTensorData Scientist
Required CredentialsKnowledge of machine learning, programming skills, often a degree in computer science or related fieldsDegree in statistics, computer science, or related fields; strong analytical skills
Work EnvironmentTech companies, AI research labs, software development teamsBusiness, finance, healthcare, and tech industries analyzing data to inform decisions
Industry UsagePrimarily in AI, machine learning, and deep learning projectsAcross industries for data analysis, predictive modeling, and insights

While a Tensor is a fundamental data structure used in machine learning frameworks like TensorFlow, a Data Scientist analyzes data to extract insights and build models. Tensors are tools that Data Scientists often work with, but they are not roles themselves. Understanding tensors is essential for Data Scientists involved in AI and machine learning projects.

What are some common challenges faced by TensorFlow Developers when working on large-scale machine learning projects?

TensorFlow Developers often encounter challenges such as optimizing model performance for large datasets, managing distributed training across multiple GPUs or TPUs, and ensuring reproducibility of experiments. Collaboration with data engineers and DevOps teams is essential to streamline data pipelines and deployment workflows. Staying up to date with frequent updates in the TensorFlow ecosystem and best practices for model optimization is also crucial for success in this role.

What are the key skills and qualifications needed to thrive as a Tensor?

I'm sorry, but 'Tensor' is not recognized as a real-world professional occupation.
What cities in California are hiring for Tensor jobs? Cities in California with the most Tensor job openings:
Infographic showing various Tensor job openings in California as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Functional Safety Engineer

Tensor

San Jose, CA

$300K/yr

Full-time

Posted 5 days ago


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—$300k USD)
  • Barcelona, Catalonia, Spain
  • Dubai, UAE
Responsibilities
  • Lead and manage functional safety activities across HW and SW development and operations of autonomous driving systems;
  • Conduct safety analysis, including FMEDA, FTA and HARA, develop and implement safety concepts and requirements in compliance with ISO 26262;
  • Collaborate with cross-functional teams to ensure safety requirements are integrated into the design and validation;
  • Provide guidance and training to team members on functional safety practices and methodologies;
Qualifications
  • Master's degree or higher in transportation engineering, statistics, biomedical engineering and mechanics, mechanical engineering, vehicle engineering, physics etc.;
  • Experience with safety standards including ISO26262, ISO 21448, and UL 4600;
  • Strong fundamentals in mathematics, engineering and physics;
  • Experience with functional safety for autonomous vehicles.
  • Strong technical communication skills and teamwork spirit.
Preferences
  • PhD’s degree with 5+ years of automotive, robotics, aerospace or related industry experience;
  • Experience in leading small teams of functional safety engineers.
  • Experience in the automotive self driving industry.

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.

Designed in California.
Available around the world.

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