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Ai Accelerator Jobs (NOW HIRING)

Senior Silicon Emulation Engineer

Austin, TX ยท On-site

$120 - $225/hr

Develop and maintain emulation platforms for AI accelerator / AI-centric SoCs * Integrate large-scale RTL (compute, DMA, memory subsystems, interconnects) into emulation environments * Enable early ...

Senior AI Engineer

Princeton, NJ ยท On-site

$109K - $150K/yr

AI Accelerator projects focus on the most challenging and highest-upside pharma-specific problems across R&D, Commercialization, Manufacturing, and Enabling Functions where critical context is buried ...

Senior AI Engineer

Seattle, WA ยท On-site

$118K - $163K/yr

AI Accelerator projects focus on the most challenging and highest-upside pharma-specific problems across R&D, Commercialization, Manufacturing, and Enabling Functions where critical context is buried ...

Senior AI Engineer

Madison, NJ ยท On-site

$107K - $147K/yr

AI Accelerator projects focus on the most challenging and highest-upside pharma-specific problems across R&D, Commercialization, Manufacturing, and Enabling Functions where critical context is buried ...

Senior AI Engineer

Cambridge, MA ยท On-site

$114K - $156K/yr

AI Accelerator projects focus on the most challenging and highest-upside pharma-specific problems across R&D, Commercialization, Manufacturing, and Enabling Functions where critical context is buried ...

$180 - $280/hr

About the Role As an AI Accelerator Systems Software Technical Program manager at OpenAI, you will help bring our chips/system hardware roadmap to life, navigating an array of technical and ...

Senior AI Engineer

Seattle, WA ยท On-site

$118K - $163K/yr

AI Accelerator projects focus on the most challenging and highest-upside pharma-specific problems across R&D, Commercialization, Manufacturing, and Enabling Functions where critical context is buried ...

Senior AI Engineer

Brisbane, CA ยท On-site

$125K - $172K/yr

AI Accelerator projects focus on the most challenging and highest-upside pharma-specific problems across R&D, Commercialization, Manufacturing, and Enabling Functions where critical context is buried ...

Senior AI Engineer

Brisbane, CA ยท On-site

$125K - $172K/yr

AI Accelerator projects focus on the most challenging and highest-upside pharma-specific problems across R&D, Commercialization, Manufacturing, and Enabling Functions where critical context is buried ...

Senior AI Engineer

Princeton, NJ ยท On-site

$109K - $150K/yr

AI Accelerator projects focus on the most challenging and highest-upside pharma-specific problems across R&D, Commercialization, Manufacturing, and Enabling Functions where critical context is buried ...

Senior AI Engineer

Madison, NJ ยท On-site

$107K - $147K/yr

AI Accelerator projects focus on the most challenging and highest-upside pharma-specific problems across R&D, Commercialization, Manufacturing, and Enabling Functions where critical context is buried ...

Showing results 41-60

Ai Accelerator information

See salary details

$38K

$52.8K

$66.5K

How much do ai accelerator jobs pay per year?

As of Sep 6, 2026, the average yearly pay for ai accelerator in the United States is $52,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $59,000.00 per year, depending on experience, location, and employer.

What is an AI accelerator?

AI Accelerators are specialized hardware or software systems designed to optimize and speed up artificial intelligence (AI) and machine learning (ML) workloads. They process complex computations required by AI algorithms more efficiently than general-purpose CPUs, enabling faster training and inference for deep learning models. Common examples of AI accelerators include GPUs, TPUs, FPGAs, and dedicated AI chips. These technologies are widely used in data centers, edge devices, and consumer electronics to support applications like image recognition, natural language processing, and autonomous vehicles.

What are the key skills and qualifications needed to thrive as an AI accelerator, and why are they important?

To thrive as an AI Accelerator, you need a deep understanding of machine learning algorithms, computer architecture, and parallel computing, often supported by a degree in computer science, electrical engineering, or a related field. Familiarity with hardware description languages (HDLs), CUDA, TensorFlow, and specific AI accelerator platforms is typically required. Strong problem-solving abilities, collaboration, and adaptability are essential soft skills for navigating complex projects and interdisciplinary teams. These skills and qualities are crucial for designing, optimizing, and deploying high-performance AI systems that meet real-world demands.

How does an AI accelerator typically collaborate with data scientists and engineering teams on AI projects?

AI Accelerators work closely with both data scientists and engineering teams to bridge the gap between model development and deployment. They often help optimize AI models for efficiency and scalability, ensuring they run effectively on various hardware platforms. Regular collaboration includes reviewing model architectures, suggesting improvements for speed and accuracy, and troubleshooting performance bottlenecks together. This cross-functional teamwork is essential for translating research breakthroughs into robust, real-world AI solutions.

What does an AI accelerator do?

An AI accelerator is a professional who develops and optimizes hardware and software solutions to improve the performance of artificial intelligence models. They often work with specialized hardware like GPUs or TPUs and use programming skills in frameworks such as TensorFlow or PyTorch to enhance AI processing speed and efficiency.
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What cities are hiring for Ai Accelerator jobs?

Cities with the most Ai Accelerator job openings:

What states have the most Ai Accelerator jobs?

States with the most job openings for Ai Accelerator jobs include:

Infographic showing various Ai Accelerator job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $52,811 per year, or $25.4 per hour.

Design Verification Engineer- AI Accelerator Lead

Velaura

Santa Clara, CA โ€ข On-site

$200 - $350/hr

Other

Medical, Dental, Vision, PTO

Posted 14 days ago


Job description

Role Overview

We are looking for talented Design Verification Engineers to help verify and deliver Velaura's next generation Physical AI SoC. You will work closely with architects, RTL engineers, software engineers and system teams to establish confidence in the correctness, performance, reliability and safety of the design, from individual RTL blocks through complete hardware and software systems running real workloads.

This role focuses on our AI acceleration units. We are designing custom compute engines from scratch to deliver industry leading inference performance at best in class energy efficiency, and every gain has to come inside a tight power envelope. You will own verification of the hardware that makes those numbers real, where correctness means numerical behavior as much as protocol.

Responsibilities
  • Own verification of Velaura's custom AI acceleration units including matrix and vector compute engines.
  • Work with architects to understand the intent behind a newly designed microarchitecture and turn it into detailed test and coverage plans, including the criteria that define correctness for numerical hardware.
  • Build verification environments using SystemVerilog, UVM, C and C++, with stimulus, checkers, assertions, trackers and coverage that stay portable across block and subsystem environments.
  • Develop reference models for GEMM and GEMV operations and compare hardware results against them.
  • Verify accelerator data flow including operand staging, tiling, accumulation and result writeback.
  • Verify precision, rounding and quantization behavior against the architecture specification.
  • Verify throughput, latency, utilization and performance per watt against aggressive targets under representative LLM and vision workloads.
  • Execute regressions through design and environment bring up, track progress using bug and coverage metrics, and support emulation and pre silicon bring up with the compiler and runtime teams.
Required Qualifications
  • 8 or more years verifying high performance compute or complex digital designs.
  • High level understanding of LLMs including transformer structure and inference data flow.
  • Knowledge of GEMM and GEMV operations and how they map onto hardware.
  • Experience with SystemVerilog, UVM, C and C++, assertions and coverage driven verification.
  • Experience building or using reference models in C, C++ or Python.
  • Understanding of numerical formats and precision tradeoffs such as FP16, BF16, FP8 and INT8.
  • Experience owning a block or unit of a design independently from test plan through coverage closure, including debug of complex failures.
  • BS or higher in Computer Engineering, Electrical Engineering or Computer Science.
Preferred Qualifications
  • Prior experience porting LLM or neural network models to RTL and verifying them.
  • Experience verifying a custom accelerator developed from scratch rather than an integrated third party IP.
  • Familiarity with systolic arrays, tensor cores, attention, KV cache or mixture of experts hardware.
  • Experience with PyTorch, ONNX or compiler and runtime stacks for accelerators.
  • Experience with formal verification, gate level simulation or silicon bring up.
  • Exposure to performance modeling, power analysis, profiling and workload characterization.
  • Familiarity with robotics, drones, autonomous vehicles or edge AI systems.
  • Experience using AI assisted verification workflows to improve productivity and coverage.

$200,000 - $350,000 a year

Compensation & Benefits

At Velaura, we believe exceptional talent deserves exceptional rewards. Compensationfor this role includes a competitive base salary, performance-based incentives, andequity participation, allowing team members to share in the companyโ€™s long-termsuccess.

Your base pay will depend on your skills, qualifications, experience, and location.

In addition to compensation, Velaura offers a comprehensive benefits package that may include medical, dental, and vision coverage; paid time off; flexible work arrangements; professional development opportunities; and other benefits designed to support the well-being and growth of our team.

Velaura is committed to pay equity and transparency and regularly benchmarks compensation to ensure we remain competitive in the market.

Why Velaura?

Velaura is building next-generation compute technology for cloud, edge, and PhysicalAI. Our solutions will enable robots, autonomous systems, drones, and other intelligentmachines to operate efficiently in the physical world.
This is an opportunity to help build foundational technology at a time when the industry is undergoing fundamental change. You will work alongside experienced leaders, architects, engineers, and operators who have delivered industry-defining products across mobile, cloud, semiconductor, and AI platforms. If you enjoy solving difficult problems, working across disciplines, and helping shape thefuture of Physical AI, we would love to hear from you.

Equal Employment Opportunity and Accommodations

Velaura is an Equal Opportunity Employer that is committed to inclusion and diversity.Qualified applicants will receive consideration for employment without regard to race,color, religion, national origin, gender, sexual orientation, gender identity, disability orprotected veteran status. We also take affirmative action to offer employment
opportunities to minorities, women, individuals with disabilities, and protected veterans.

Velaura is committed to working with qualified individuals with physical or mentaldisabilities. Applicants who would like to contact us regarding the accessibility of ourwebsite or who need special assistance or a reasonable accommodation for any part ofthe application or hiring process may contact us at: careers@velaura.ai. This contact
information is for accommodation requests only. Evaluation of requests for reasonableaccommodation will be determined on a case-by-case basis.

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