Full-Time

Lead System Test Engineer

Confirmed live in the last 24 hours

Recogni

Recogni

51-200 employees

Data storage and communication services provider

No salary listed

Senior, Expert

San Jose, CA, USA

In Person

Category
QA & Testing
Automation Testing
Quality Assurance
Required Skills
Bash
Python
Docker
JIRA
Jenkins
Linux/Unix
Requirements
  • 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.
  • Hands on Python automation libraries development.
  • 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.
Responsibilities
  • 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.
Desired Qualifications
  • Experience in leading small high-performance teams.
  • Deep and hands-on understanding of GenAI models (e.g., LLMs, stable diffusion, mixture-of-experts, text-to-video, etc.) and their accuracy metrics.
  • Experience with building and maintaining test labs and equipment, including the procurement of equipment.

Recogni provides essential services for data storage and communication, primarily targeting businesses that require reliable and secure data management. Their services include storing user preferences to enhance user experience and personalizing content, which indicates a focus on improving client interactions. Additionally, Recogni utilizes stored data for statistical analysis, helping clients understand trends and make informed decisions while ensuring that all data is used anonymously to protect user privacy. Unlike many competitors, Recogni emphasizes a commitment to data protection and privacy, which is a key differentiator in the data storage sector. The company's goal is to facilitate smooth electronic communications and empower businesses with valuable insights through data analysis.

Company Size

51-200

Company Stage

Series C

Total Funding

$175.9M

Headquarters

San Jose, California

Founded

2017

Simplify Jobs

Simplify's Take

What believers are saying

  • Partnership with DataVolt enhances energy-efficient AI infrastructure for next-gen data centers.
  • Juniper Networks' $102M investment boosts Recogni's AI inference capabilities and market reach.
  • Pareto AI Math innovation makes AI chips smaller, faster, and more cost-effective.

What critics are saying

  • Competition from NVIDIA and Intel threatens Recogni's market share in AI chips.
  • Rapid AI advancements risk making Recogni's solutions obsolete without quick innovation.
  • Potential EU regulatory changes could impact Recogni's data handling practices.

What makes Recogni unique

  • Recogni develops AI-based inference solutions for Generative AI and autonomous platforms.
  • The company focuses on high compute, low power, and scalable AI solutions.
  • Recogni emphasizes user privacy and data protection in its data storage services.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Flexible Work Hours

Unlimited Paid Time Off

Growth & Insights and Company News

Headcount

6 month growth

-3%

1 year growth

0%

2 year growth

-1%
Inside HPC
May 30th, 2025
Recogni and DataVolt Partner on Energy-Efficient AI Cloud Infrastructure

As part of the heterogeneous compute strategy, DataVolt is partnering with Recogni to integrate Recogni's low-power inference systems to power its next-generation AI data centers.

Techerati
Nov 14th, 2024
Juniper Networks invests £80.4M in AI inference company Recogni

Artificial intelligence (AI) Native Networking company, Juniper Networks, has invested £80.4 million ($102 million) in AI inference company, Recogni, to advance AI inference capabilities.

PR Newswire
Nov 12th, 2024
Juniper Networks and Recogni Announce Venture Funding and Collaboration for High Performance, Energy-Efficient and Cost-Effective Multimodal Generative AI Inference Systems

/PRNewswire/ -- Juniper Networks® (NYSE: JNPR), a leader in secure, AI-Native Networking, and Recogni, the Generative AI Inference company, have jointly...

EE News Europe
Nov 12th, 2024
Recogni's $102M AI Funding with Juniper

Recogni has secured $102 million in a Series C funding round, with participation from Juniper Networks. The collaboration aims to enhance AI inference compute for hyperscalers and enterprises, focusing on energy efficiency and performance. Juniper's CEO, Rami Rahim, highlighted the importance of cost-effectiveness and power efficiency in AI innovation. Recogni's CEO, Marc Bolitho, emphasized the potential for running large models with unprecedented speed and accuracy.

Data Center Dynamics
Sep 30th, 2024
Recogni second generation chips to focus on data center AI inference

Edge AI startup Recogni has announced plans to develop data center AI inference chips.