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Remote Amazon Computer Science Jobs in Gilroy, CA

Project Lead - AI

San Jose, CA · Remote

$35 - $40/hr

A completed college degree in Computer Science, Math, Statistics, or Cognitive Science * Strong ... Remote This Organization Participates in E-Verify Keywords Studios is committed to fair and ethical ...

Anywhere in US / Remote Experience level: 5 Years Compensation: Negotiable Roles and ... Scientific or technical degree in Engineering or Computer Science * Excellent technical, verbal and ...

Anywhere in US / Remote Experience level: 5 Years Compensation: Negotiable Roles and ... Scientific or technical degree in Engineering or Computer Science * Excellent technical, verbal and ...

Bachelor's degree in preferably Computer Science, Information Technology, Computer Engineering, or ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Senior Software Engineer

Santa Cruz, CA · Remote

$117.70K - $193.90K/yr

Lead the design and implementation of frameworks to support remote monitoring and management of ... University degree in computer science, computer engineering, physics, mathematics, or similar field ...

Senior Software Engineer

Santa Cruz, CA · Remote

$117.70K - $193.90K/yr

Lead the design and implementation of frameworks to support remote monitoring and management of ... University degree in computer science, computer engineering, physics, mathematics, or similar field ...

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Remote Amazon Computer Science information

What are the key skills and qualifications needed to thrive as a Remote Amazon Computer Science professional, and why are they important?

To thrive as a Remote Amazon Computer Science professional, you typically need a strong background in computer science fundamentals, programming (such as Java, Python, or C++), and a relevant degree or equivalent experience. Familiarity with cloud computing platforms like AWS, software development tools, and version control systems such as Git is essential. Strong problem-solving, self-motivation, and effective communication are key soft skills for collaborating remotely and driving projects forward. These skills and qualities are critical for delivering scalable, high-quality solutions while working independently within Amazon's dynamic and distributed teams.

How do remote Amazon Computer Science professionals typically collaborate with their teams across different time zones?

Remote Amazon Computer Science professionals often work with colleagues spread across various regions, which requires strong communication and time management skills. Teams commonly use tools like Amazon Chime, Slack, and project management platforms to coordinate meetings, share updates, and track progress asynchronously. Flexibility in scheduling and clear documentation are crucial to ensure everyone stays informed and aligned, and regular virtual stand-ups or check-ins help maintain team cohesion. Despite the remote setting, Amazon fosters a collaborative environment where engineers support each other's growth and problem-solving.

What are remote Amazon computer science jobs?

Remote Amazon computer science jobs are roles at Amazon that allow professionals to work from locations outside of Amazon offices, focusing on computer science domains such as software development, data engineering, machine learning, and cloud computing. These positions typically require strong technical skills in programming, algorithms, and systems design, and they often support Amazon’s various products and services from a virtual setting. Remote roles offer flexibility while still enabling collaboration with global teams and contributing to large-scale projects. Candidates usually need a degree in computer science or a related field and relevant work experience.

What is the difference between Remote Amazon Computer Science vs Remote Amazon Software Development?

AspectRemote Amazon Computer ScienceRemote Amazon Software Development
Required CredentialsBachelor's in Computer Science or related field, possibly some certificationsBachelor's in Computer Science or related field, often with coding certifications
Work EnvironmentResearch, data analysis, algorithm design, theoretical workCode writing, application development, system implementation
Employer & Industry UsageAmazon research labs, data teams, algorithm groupsAmazon software engineering teams, product development
Common Search & Comparison IntentUnderstanding research roles vs development roles at AmazonDistinguishing between development and research positions at Amazon

Remote Amazon Computer Science roles focus on research, algorithms, and theoretical work, while Remote Amazon Software Development roles emphasize coding, application building, and system implementation. Both require a strong foundation in computer science but differ in daily tasks and work environment.

What are popular job titles related to Remote Amazon Computer Science jobs in Gilroy, CA? For Remote Amazon Computer Science jobs in Gilroy, CA, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Computer Science jobs in Gilroy, CA look for? The top searched job categories for Remote Amazon Computer Science jobs in Gilroy, CA are:
What cities near Gilroy, CA are hiring for Remote Amazon Computer Science jobs? Cities near Gilroy, CA with the most Remote Amazon Computer Science job openings:
Principal ASIC Verification Engineer

Principal ASIC Verification Engineer

Cornelis Networks

San Jose, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

At Cornelis we're building the future of AI and HPC networking with an AI-first approach to silicon and software development. We're seeking engineers who are energized by working on cutting-edge ASIC design and distributed software systems, and who are motivated to push the boundaries on how AI can transform everything from chip architecture to system performance at scale.


At Cornelis we're building the future of AI and HPC networking with an AI-first approach to silicon and software development. We're seeking engineers who are energized by working on cutting-edge ASIC design and distributed software systems, and who are motivated to push the boundaries on how AI can transform everything from chip architecture to system performance at scale.

Cornelis Networks delivers the world's highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world's most demanding computational challenges with our next-generation networking solutions.


We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.


Cornelis Networks is hiring a Principal ASIC Verification Engineer with advanced skills and knowledge in key areas required to verify world-class SoCs to be deployed in high performance computing, high performance data analytics, and artificial intelligence interconnect solutions. As a member of the ASIC leadership team with hands-on technical experience, you will be responsible for the verification closure of entire projects, including design modules, sub-systems, and SoCs. You will drive a wide range of activities including test-planning, UVM based testbench development, regression and coverage closure. You will have the opportunity to partner and collaborate with ASIC design, emulation, system hardware and post-silicon teams and help create a first-pass silicon success. A preferred candidate will have 10 + years of relevant experience in networking hardware verification, proven expertise in verifying one or more of the following: 50G, 100G, 400G Ethernet MAC/PCS protocols, UDP, TCP/IP, RDMA/RoCE, IPSec. and their application in high-speed data processing/networking. Experience utilizing AI tools to generate test plans and improve the productivity of verification process and team is highly desirable.


Key Technical Responsibilities:

  • Define overall SOC level verification strategy, technical planning, direction
  • Enable and drive the development of UVM environments to verify RTL at block, unit, and SoC levels
  • Develop and execute functional tests according to verification test plans
  • Instrument TB for functional and code coverage and drive to closure based on the coverage metrics
  • Collaborate with cross-functional teams like design, software, emulation and silicon validation teams towards ensuring the highest design quality


Team Responsibilities:

  • Day-to-day guidance and leadership of team members
  • Driving results via mentoring, coaching, and counseling
  • Education of team in the use of AI tools to enhance productivity and efficiencies
  • Generation and enforcement of coding and verification guidelines

Minimum Qualifications:

  • 15 + years of experience with the following:
  • Hands-on experience with writing code using UVM/System Verilog
  • Verification for complex SoCs that include multiple clock and reset domains, using VCS or equivalent simulation tools
  • Debugging fails to the line of RTL, closing out bug fixes, using Verdi or equivalent debug tools
  • Experience in ground up testbench development
  • Experience with revision control systems like Git or SVN etc.
  • B.S. Degree in Computer Engineering, Computer Science, or Electrical Engineering


Preferred Qualifications:

  • M.S. Degree in Computer Engineering, Computer Science, or Electrical Engineering
  • 15 + years of relevant experience in networking hardware verification, proven expertise in verifying 50G, 100G, 400G Ethernet MAC/PCS protocols, TCP/IP, RDMA/RoCE, IPSec. and their application in high-speed data processing/networking
  • One or more scripting languages (TCL, Python, Perl, Shell-scripting)
  • Track record of first-pass success in ASIC and Systems


Location:This is a remote position for employees residing within the United States.


We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.


At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.

In addition to your base pay, you'll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.


Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.