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Tensor Jobs (NOW HIRING)

DensityAI

Compiler Engineer - MLIR

Mountain View, CA

About the role 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 ...

DensityAI

Compiler Engineer -- MLIR

Mountain View, CA · On-site

Responsibilities : • 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 ...

DensityAI

Compiler Engineer -- MLIR

Mountain View, CA · On-site

$200K - $360K/yr

Deep understanding of tensor compilation, distributed / sharded execution, and async / streaming dataflow models * Strong C++ fluency and experience integrating with ML frameworks (PyTorch, JAX, ONNX ...

DensityAI

Compiler Engineer - MLIR

Mountain View, CA · On-site

$200K - $360K/yr

Deep understanding of tensor compilation, distributed / sharded execution, and async / streaming dataflow models * Strong C++ fluency and experience integrating with ML frameworks (PyTorch, JAX, ONNX ...

DensityAI

AI Core DV Engineer

Mountain View, CA

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 ...

Rivian

Principal NPU Microarchitect

Palo Alto, CA · On-site

$218 - $312/hr

At Rivian, the RAP1 SoC compute engine includes a large processing array ( e.g., systolic arrays or tensor cores ), configurable partitioning, instruction DMA engines, data DMA engines, and ...

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$165K

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How much do tensor jobs pay per year?

As of Jul 31, 2026, the average yearly pay for tensor in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 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 the best job for an Overthinker?

A role as a Tensor involves working with machine learning models and data analysis, which can suit overthinkers who enjoy problem-solving and detailed work. Such jobs often require strong analytical skills, patience, and attention to detail, and may involve working independently or in research environments. Tasks may include developing algorithms, testing models, and optimizing performance, making it suitable for those who prefer thoughtful, methodical work.

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 jobs use TensorFlow?

Jobs that use TensorFlow include machine learning engineer, data scientist, AI researcher, and software developer. These roles typically require knowledge of deep learning, programming in Python, and experience with neural networks and model deployment.

What jobs pay 4000 a week without a degree?

Jobs that can pay around $4,000 a week without a degree often include skilled trades such as commercial truck driving, where long-haul drivers can earn high wages with proper licensing, or specialized roles like real estate agents with successful sales. High-paying freelance or entrepreneurial work, such as consulting or starting a small business, can also reach this income level, but typically require experience, skills, and effort to achieve consistent earnings.

Which 3 jobs will survive AI?

Tensor professionals, such as data scientists, AI researchers, and machine learning engineers, are likely to continue thriving as their roles involve complex problem-solving, creativity, and domain expertise that are difficult for AI to fully replicate. These jobs require advanced skills in programming, statistical analysis, and understanding of AI tools, making them more resilient to automation. Continuous learning and staying updated with emerging technologies are essential for long-term career stability in these fields.
More about Tensor jobs
What cities are hiring for Tensor jobs? Cities with the most Tensor job openings:
What are the most commonly searched types of Tensor jobs? The most popular types of Tensor jobs are:
What states have the most Tensor jobs? States with the most job openings for Tensor jobs include:
What job categories do people searching Tensor jobs look for? The top searched job categories for Tensor jobs are:
Tensor jobs near you
Infographic showing various Tensor job openings in the United States as of July 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 88% Physical, 6% Hybrid, and 6% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Compiler Engineer - MLIR

DensityAI

Mountain View, CA

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago

Job description

About the role

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. Work with chip-design and software teams driving DensityAI's AI accelerator program from first silicon through scale-out.

What you'll do
  • 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
  • Use and develop AI-assisted tool flows to accelerate compiler development
What we're looking for
  • Exceptional abilities in MLIR dialect design, lowering pass authoring, and rewrite patterns
  • 5+ years compiler engineering experience, with hands-on MLIR contributions or equivalent IR-design experience
  • Deep understanding of tensor compilation, distributed / sharded execution, and async / streaming dataflow models
  • Strong C++ fluency and experience integrating with ML frameworks (PyTorch, JAX, ONNX, TensorFlow, or equivalent)
  • (Optional) LLVM backend experience, GPU compiler experience (Triton, IREE, XLA, or equivalent), or open-source MLIR / LLVM contributions
Compensation

Final offers depend on level, location, and skills relevant to the role. Additional compensation: equity grant per company guidelines; medical / dental / vision; 401(k); standard PTO.

Visa Sponsorship

DensityAI sponsors qualified candidates for H-1B, O-1, TN, E-3, and other employment-based visas, and we welcome applicants on F-1 OPT and STEM-OPT. Work authorization is required at start; we provide immigration support to secure or transfer status.

Equal Opportunity

DensityAI is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religious creed, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age (40+), sexual orientation, military or veteran status, pregnancy, or any other status protected by law. We comply with the California CROWN Act and provide reasonable accommodations on request.

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