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Fpga Inference Jobs (NOW HIRING)

Cerebras Systems

FPGA Engineer

Sunnyvale, CA · On-site

$152K - $196K/yr

This architecture allows Cerebras to deliver industry-leading training and inference speeds; over ... As an FPGA developer on the team, you will own the in-chassis IO subsystem consisting of i) several ...

Karl Storz GmbH & Co. KG

FPGA Engineer IV

Goleta, CA · On-site

$140K - $180K/yr

Contribute to architectures utilizing GPU programming, edge computing, AI inference, and accelerated imaging platforms. * Evaluate system tradeoffs related to FPGA resources, GPU performance, power ...

Karl Storz GmbH & Co. KG

FPGA Engineer IV

Goleta, CA · On-site

$140K - $180K/yr

Contribute to architectures utilizing GPU programming, edge computing, AI inference, and accelerated imaging platforms. * Evaluate system tradeoffs related to FPGA resources, GPU performance, power ...

KARL STORZ SE & Co. KG

FPGA Engineer III

Goleta, CA · On-site

$125 - $150/hr

Evaluate and select FPGA devices and supporting components that meet system performance ... Experience with GPU programming, AI inference deployment, edge computing platforms, AMD Versal AI ...

Karl Storz GmbH & Co. KG

FPGA Engineer III

Goleta, CA · On-site

$140K - $180K/yr

About the Role We are seeking an experienced FPGA Design Engineer III to join our engineering team ... Experience with GPU programming, AI inference deployment, edge computing platforms, AMD Versal AI ...

Karl Storz GmbH & Co. KG

FPGA Engineer III

Goleta, CA · On-site

$140K - $180K/yr

Evaluate and select FPGA devices and supporting components that meet system performance ... Experience with GPU programming, AI inference deployment, edge computing platforms, AMD Versal AI ...

Altera Corporation

$125 - $150/hr

This position provides an exciting opportunity to work on cutting-edge technologies including FPGA-based DSP, embedded systems, AI inference, high-speed data converters, and advanced RF signal ...

Altera

FPGA System Design Engineer

San Jose, CA · On-site

$118K - $172K/yr

This position provides an exciting opportunity to work on cutting-edge technologies including FPGA-based DSP, embedded systems, AI inference, high-speed data converters, and advanced RF signal ...

Judge Group, Inc.

FPGA Firmware Engineer

Westminster, CO · On-site

$140K - $155K/yr

Experience implementing image processing, video processing, compression algorithms, or machine learning inference on FPGA platforms. * Knowledge of hardware and firmware assurance standards such as ...

Raytheon

Principal FPGA Engineer

Mckinney, TX · On-site

$129K - $157K/yr

AI/ML inference on FPGA (Vitis AI, FINN, custom accelerators) * Demonstrated ability to lead successful teams. * Experience managing technical, cost, and schedule risks and opportunities.

Prattwhitney

Principal FPGA Engineer

Mckinney, TX · On-site

$150 - $200/hr

Experience with AI/ML inference on FPGA (Vitis AI, FINN, custom accelerators). * Demonstrated ability to lead successful teams and manage technical, cost, and schedule risks. * Experience with ...

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How much do fpga inference jobs pay per year?

As of Sep 8, 2026, the average yearly pay for fpga inference in the United States is $147,315.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,000.00 and $167,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Fpga Inference job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $147,315 per year, or $70.8 per hour.

FPGA Engineer

Sunnyvale, CA • On-site

Cerebras Systems
Computer and Peripheral Equipment Manufacturing • 201 - 500 employees
Learn more about Cerebras Systemsexternal

$152K - $196K/yr

Full-time

Posted 22 days ago

Key responsibilities

  • Own the in-chassis IO subsystem, including network interfaces, switching fabric, and Serial IO communication with the WSE.

  • Develop, optimize, and produce production-ready FPGA bitstreams for deployment in large AI clusters.

  • Drive network performance debugging, implement improvements, and integrate new networking technologies and protocols.

Job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
About The Role
The Host and Network IO Team develops the full IO path implementation between a distributed system of server nodes, through the cluster, down to the custom RoCE network stack implemented in Cerebras' system, and over the proprietary IOs onto the WSE. As an FPGA developer on the team, you will own the in-chassis IO subsystem consisting of i) several cluster-facing RoCE v2 network interfaces via a custom implementation of the RDMA protocol; ii) a large programmable switching fabric; and iii) Serial IO communication with the Cerebras WSE via a proprietary protocol. You will interface between AI application-level IO teams, cluster architecture teams, and embedded software teams to develop solutions that optimize bandwidth and latency while minimizing congestion, pauses, pause spreading, unfairness, etc. The scope of work spans multiple generations of hardware products from improvements to presently deployed hardware, implementation of upcoming systems, and design/architecting of future next-gen architectures.
Responsibilities
  • Lead full chassis-to-wafer IO architecture and design
  • Improve current RTL, implement next-gen FPGA design, define future IO architectures
  • Produce production-ready bitstreams for deployment into large clusters running customer inference services
  • Work with DV team to prevent bug slips and simplify debug
  • Optimize bandwidth/latency over FPGA datapath and all IO interfaces
  • Interface with board team facilitating and executing board bringup
  • Drive network performance debug of large AI clusters
  • Integrate leading edge networking technologies and protocols
  • Lead cross-functional technical projects spanning multiple teams and integrating diverse software and hardware components to deliver an improved network IO solution.
  • Foster clear and effective communication across teams and stakeholders.

Skills & Qualifications
  • 5+ years industry experience generating production FPGA solutions, OR Master's/PhD in Computer or Electrical Engineering + 3 years industry experience,
  • Proficiency in Verilog development in Git based repo
  • Highly productive with FPGA placement & routing, timing closure, simulation, debug, and other FPGA tools/workflows
  • Network protocol familiarity (TCP, RoCE) and network debug tools such as Wireshark
  • Knowledge of network switch environments or willingness to learn (Arista, Juniper, etc.).
  • AI-augmented development environment

Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we've reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
  1. Build a breakthrough AI platform beyond the constraints of the GPU.
  2. Publish and open source their cutting-edge AI research.
  3. Work on one of the fastest AI supercomputers in the world.
  4. Enjoy job stability with startup vitality.
  5. Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!
Apply today and become part of the forefront of groundbreaking advancements in AI!
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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