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Remote High Performance Computing Jobs in California

SOC Intergration Engineer

Mountain View, CA · On-site +1

$175K - $450K/yr

Possess a proven track record in integrating high-performance computing elements (CPUs, GPUs ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

... high-performance computing markets. As our business scales globally, so does the complexity and ... Remote work within the U.S. may be considered for exceptional candidates. Responsibilities ...

... High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse ... Our people-first culture and global support system, including the remote work option and Employee ...

Legal Intern

San Jose, CA · On-site +1

$60/hr

... High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse ... Our people-first culture and global support system, including the remote work option and Employee ...

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Remote High Performance Computing information

What are the key skills and qualifications needed to thrive as a Remote High Performance Computing (HPC) Specialist, and why are they important?

To thrive as a Remote High Performance Computing (HPC) Specialist, you need expertise in parallel computing, cluster management, and strong programming skills in languages such as Python, C/C++, or Fortran, often backed by a degree in computer science or a related field. Familiarity with HPC job schedulers (like SLURM or PBS), cloud platforms, and Linux-based systems, as well as relevant certifications, is highly valuable. Strong problem-solving abilities, effective communication, and the capacity to work independently are crucial soft skills in remote environments. These competencies ensure efficient deployment, management, and troubleshooting of complex HPC resources while supporting diverse user needs from a distance.

How does a Remote High Performance Computing (HPC) professional typically collaborate with research teams and IT staff?

Remote HPC professionals often work closely with research scientists, data analysts, and IT administrators to ensure computational resources are efficiently allocated and optimized for large-scale projects. Collaboration usually happens through virtual meetings, ticketing systems, and shared documentation platforms, requiring strong communication and problem-solving skills. Daily tasks may involve troubleshooting user issues, managing job scheduling, and maintaining cluster performance, all while coordinating with geographically dispersed teams. This dynamic environment fosters continuous learning and exposure to cutting-edge scientific and technical applications.

What is Remote High Performance Computing?

Remote High Performance Computing (HPC) refers to the use of powerful computing resources and clusters that are accessed over the internet or a network, rather than being located locally. This setup allows researchers, engineers, and organizations to perform complex computations, simulations, and data analysis from anywhere, without the need for on-site supercomputers. Remote HPC enables scalability, flexibility, and cost-effectiveness by allowing users to leverage shared resources, often provided by cloud service providers or specialized data centers.

What is the difference between Remote High Performance Computing vs Remote Data Scientist?

AspectRemote High Performance ComputingRemote Data Scientist
Required CredentialsAdvanced degrees in Computer Science, Engineering, or related fields; experience with HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; proficiency in programming languages
Work EnvironmentAccess to supercomputers, clusters, or cloud HPC resources; collaborative teamsData analysis environments, cloud platforms, and programming tools; often collaborative
Industry UsageResearch institutions, scientific computing, engineering simulationsTech companies, finance, healthcare, research

Remote High Performance Computing specialists focus on managing and utilizing supercomputing resources for complex simulations and data processing. Remote Data Scientists analyze large datasets to extract insights. While both roles require programming skills and advanced degrees, HPC roles emphasize system management and computational efficiency, whereas Data Scientists focus on data analysis and modeling.

What are the most commonly searched types of High Performance Computing jobs in California? The most popular types of High Performance Computing jobs in California are:
What are popular job titles related to Remote High Performance Computing jobs in California? For Remote High Performance Computing jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote High Performance Computing jobs in California look for? The top searched job categories for Remote High Performance Computing jobs in California are:
What cities in California are hiring for Remote High Performance Computing jobs? Cities in California with the most Remote High Performance Computing job openings:
Senior ASIC Verification Engineer

Senior ASIC Verification Engineer

Cornelis Networks

San Jose, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 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.


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 ofarchitects, 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 Mid-Level and Senior ASIC Verification Engineers 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. You will be responsible for the verification closure of a design module or sub-system from test-planning, UVM based testbench development to verification closure. The role also provides ample opportunities to partner and collaborate with full stack software, hardware, ASIC design, emulation and post-silicon teams towards creating a first-pass silicon success. A preferrable 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.

Key Responsibilities:

  • Participate in ground up 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


Minimum Qualifications:

  • 10 + years of experience with the following:
    • Writing code using System Verilog Language
    • 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
  • 10 + 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.