Lead System Test Engineer, Recogni
+ Employee Stock Option Purchase Plan
Office located in San Jose, CA
Vision-oriented AI platform for autonomous vehicles
Be an early applicant
Vision-oriented AI platform for autonomous vehicles
21-100 employees
Be an early applicant
+ Employee Stock Option Purchase Plan
Office located in San Jose, CA
21-100 employees
Company mission
To provide the highest-performing AI-based visual inference for autonomous vehicles.
Role
Who you are
- This role is hands-on, high-impact, and visible across the organization—ideal for engineers who want to make real systems work, at scale
- 7+ years of experience in system-level testing or validation of computing platforms, embedded systems, or hardware/software co-designed products
- Hand-on deep familiarity with Python and Bash scripting. Experience with Linux-based environments, Docker, and CI/CD tools (e.g., Jenkins, GitHub Actions) to automate test flows
- Hands-on with test frameworks such as PyTest, Robot Framework, or custom harnesses; ability to extend or build from scratch
- Experience with network and storage systems (e.g., Infiniband, Ethernet, NFS, S3, NAS/SAN) and associated performance benchmarks
- Solid background in using tools like JIRA, Testmo, or Qase for tracking test plans, results, and defects
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field
- Where you will stand out: a) experience in leading small high-performance teams; b) deep and hands-on understanding of GenAI models (e.g., LLMs, stable diffusion, mixture-of-experts, text-to-video, etc.) and their accuracy metrics; c) experience with building and maintaining test labs and equipment, including the procurement of equipment
What the job involves
- We’re looking for a Lead System Test Engineer to own and drive the design, automation, and execution of comprehensive system-level testing for our high-performance AI computing platforms
- Design, architect and implement system test plans that reflect real-world use cases, performance benchmarks, and production-readiness criteria
- Develop and extend a scalable test automation framework integrated with our SDK for test-case generation
- Implement test methodologies for validating complex interactions across compute nodes, networking, storage, and distributed software systems
- Verify system behavior across hardware revisions and software builds and analyze large volumes of test data to pinpoint failure modes
- Devise and maintain a modular test harness that supports simulation, emulation, and hardware-in-the-loop testing
- Collaborate closely with hardware, software, and AI systems teams to ensure alignment of test coverage with engineering milestones. Be hands-on engaged in setting up our test lab facility
Our take
With an investor list including the likes of Toyota, BMW and Continental, it’s perhaps safe to say that Recogni is already a contender in its sector. Its visual perception platform has been created specifically for autonomous vehicular use, from safety feature development to full self-driving vehicles. Using AI neural network accelerator technology utilising high-res imagery, HDR stereo sensing, and analysing data in real time.
Recogni saw an opportunity when they assessed the market of visual perception products and found that systems were either high performance platforms with a huge power drain, or low power, economical alternatives that compromised on performance. Recogni’s goal was to create a platform that is both powerful and economical.
Impressive investment in the company is being used to manufacture and market Recogni's new slate of AI chips, which are more specified than the current large language model training chips on the markets. Recogni's chips stand out because they focus on "inference" in the AI training process, allowing its models to make predictions based on new data - an integral part of the self-driving vehicle system. More efficient than current chips on the market, Recogni is well on its way to securing its seat in the autonomous vehicle development sector.
Freddie
Company Specialist at Welcome to the Jungle
Insights
6% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Feb 2024
$102m
SERIES C
Feb 2021
$48.9m
SERIES B
Total funding: $175.9m
Company benefits
- Learning and development opportunities
- Employee stock purchase plan
- 401K
- Dental, vision and life insurance
- Flexible work hours
- Generous PTO policy
- Work from home opportunities
- Health insurance
Company HQ
North San Jose, San Jose, CA
Leadership
Gilles Backhus
(VP of AI)Gilles has an extensive background in realtime AI development having lead and founded multiple AI based companies.
R K Anand
(CPO)R K comes from a Computer Engineering background and has gained extensive experience in managing and founding multiple technology enterprises.
Valerie Chan
(VP of Global Operations)Valerie is an experienced entrepreneur and executive with a demonstrated history of success in the hardware/technology/internet industries.
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