FPGA Jobs
11 FPGA jobs currently listed
Browse 11 open positions that require FPGA experience. Every listing includes the full tech stack, language requirements, remote policy, and salary data, so you can filter with confidence instead of guessing from job descriptions.
By the numbers
- 9 companies hiring
- Mostly Mid roles
- Often paired with Python, C++, C, Linux
- Top locations: London, Berlin, Cambridge
What you'll find here
Each job includes structured data from the original posting. You can see exactly which technologies are required vs. nice-to-have, whether the role is remote-friendly, and what salary range to expect, all without reading through pages of job descriptions.
Staff Software Engineer (ML QA)
London, United Kingdom - English
Staff Software Engineer (ML QA)
Cambridge, United Kingdom - English
Autonomy Engineer - Perception Optimization
Ann Arbor, United States (Remote) - English
ASIC Engineer
London, United Kingdom - English (fluent)
(Senior) Embedded Software Engineer
Berlin, Germany - English
Instrumentation and Test Engineer
Zurich, Switzerland - English
Instrumentation and Test Engineer
Munich, Germany - English
Staff SoC Verification Engineer (S)
United Kingdom (Remote) - English
Staff FPGA Engineer
London, United Kingdom - English
Frequently Asked Questions
- There are currently 11 open positions that list FPGA as a required skill. This number updates daily as new jobs are posted.
- We analyze every job description to identify the specific technologies mentioned. We distinguish between technologies that are required, nice-to-have, or explicitly not used, so you get an accurate picture of each role's tech stack.
- Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find FPGA jobs that don't use a particular framework or language.
- When a company includes salary in their job posting, we use that directly. Otherwise, we parse salary information from the job description. Each salary figure gets a confidence score. High-confidence data is shown prominently, while less certain figures are clearly marked.