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Amazon Hpc Jobs in California (NOW HIRING)

Senior Product Manager -Tech

Santa Clara, CA ยท On-site

$148K - $196K/yr

Amazon EC2 (Elastic Compute Cloud) is looking for a dynamic and seasoned product leader to help ... SAP, HPC, Edge, and more. This is a unique opportunity to innovate across all layers of the ...

Senior Product Manager -Tech

Santa Clara, CA ยท On-site

$148K - $196K/yr

Amazon EC2 (Elastic Compute Cloud) is looking for a dynamic and seasoned product leader to help ... SAP, HPC, Edge, and more. This is a unique opportunity to innovate across all layers of the ...

Senior Product Manager -Tech

Santa Clara, CA

$148K - $196K/yr

Amazon EC2 (Elastic Compute Cloud) is looking for a dynamic and seasoned product leader to help ... SAP, HPC, Edge, and more. This is a unique opportunity to innovate across all layers of the ...

Showing results 21-40

Amazon Hpc information

See California salary details

$22.7K

$76.1K

$120.4K

How much do amazon hpc jobs pay per year?

As of Aug 22, 2026, the average yearly pay for amazon hpc in California is $76,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,200.00 and $94,700.00 per year, depending on experience, location, and employer.

What is an Amazon HPC?

Amazon HPC (High Performance Computing) jobs refer to specialized positions focused on designing, deploying, and managing high-performance computing solutions on Amazon Web Services (AWS). These roles involve working with advanced computing resources such as clusters, supercomputers, and parallel processing systems to support scientific, engineering, or big data workloads. Professionals in Amazon HPC jobs often collaborate with clients to optimize workloads, manage scalability, and ensure cost-effective cloud computing performance. They must have a strong background in cloud computing, networking, and often, domain-specific expertise in areas such as genomics, simulations, or financial modeling.

What skills and qualifications are needed to work in Amazon HPC?

To excel as an AWS HPC Specialist, you need expertise in cloud architecture, parallel computing, Linux systems, and a strong background in computer science or engineering. Familiarity with AWS services (like EC2, S3, FSx for Lustre), HPC workload managers (such as Slurm), and relevant certifications like AWS Certified Solutions Architect are highly valuable. Advanced problem-solving, clear communication, and the ability to collaborate with diverse technical teams are crucial soft skills. These competencies ensure the efficient design, deployment, and optimization of complex HPC workloads in cloud environments, driving innovation and performance.

What challenges do professionals face in Amazon HPC roles, and how can they be addressed?

Professionals in Amazon HPC roles often encounter challenges such as optimizing large-scale workloads for cloud environments, ensuring data security in distributed systems, and managing the complexity of integrating various AWS services. Staying up-to-date with rapidly evolving cloud technologies and best practices is essential. Collaborating closely with data scientists, engineers, and cloud architects can help overcome these obstacles, while ongoing training and leveraging AWS support resources are valuable strategies for success.

What is the difference between Amazon Hpc vs Amazon Cloud Engineer?

AspectAmazon HpcAmazon Cloud Engineer
Required CredentialsAWS certifications, Linux, scripting skillsAWS certifications, cloud architecture, scripting skills
Work EnvironmentHigh-performance computing clusters, data centersCloud platforms, virtual environments
Employer & Industry UsageTech, research, scientific computingTech, enterprise, startups
Common Search & Comparison IntentPerformance, infrastructure, HPC solutionsCloud deployment, architecture, scalability

Amazon Hpc focuses on managing high-performance computing environments for scientific and research purposes, requiring expertise in HPC clusters and Linux. Amazon Cloud Engineer involves designing and maintaining cloud solutions on AWS, emphasizing cloud architecture and scalability. While both roles require AWS certifications and scripting skills, Amazon Hpc is more specialized in HPC infrastructure, whereas Amazon Cloud Engineer covers broader cloud deployment tasks.

Infographic showing various Amazon Hpc job openings in California as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $76,119 per year, or $36.6 per hour.

Sr. Software Development Engineer, HPC/ML Networking Engineer, Annapurna Labs

Socket.dev

Cupertino, CA โ€ข On-site

$193.30 - $261.50/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

We are seeking an experienced engineer to work on distributed AI/ML systems. This role involves working on collective operations - the fundamental operations that enable AI to scale across multiple accelerators & servers. Most of our stack is C/C++ and relatively low level, so solid knowledge of Linux, kernels, and performant code is important. Experience with embedded systems is valued, and experience with high-speed networking or HPC interconnects is valued highly.

If you like solving hard problems, want to work with HPC and ML customers, iterate fast and deliver meaningful solutions at scale, then come join us! This truly is a role on the forefront of AI/ML, youโ€™ll be working on features for the largest clusters, with the largest customers, for the largest AI models.

The org you would be joining is Annapurna Labs, an integral part of AWS and develops hardware and software components that are critical building blocks for EC2 infrastructure. Every instance in EC2 is running some type of hardware designed in Annapurna Labs. We specialize in designing software, systems and chips that optimize the AWS customer experience.

A day in the life

Annapurna Labs, a crucial part of AWS, is responsible for developing hardware and software components for EC2 infrastructure. Our team focuses on building networking solutions that for Machine Learning (ML) and High-Performance Computing (HPC) workloads on AWS.

We have mixed discipline orgs, youโ€™d be working side by side with infrastructure experts, hardware engineers, RTL engineers, scientists & architects. Our workforce spans the globe and is truly international, youโ€™ll find yourself working side by side with individuals from numerous countries. We take mentorship seriously, you can both expect senior mentorship and will be expected to mentor new and junior engineers.

The pace is fast as we work on the latest advancements of AI/ML, but we take the time to bond as a team and enjoy the successes. We offer flexibility in working hours, and respect WLB as a core org tenet. The team enjoys working with numerous principal-level engineers and closely with directors, career growth opportunities are certainly available. This is a role where you will always be encouraged to keep learning, the AI/ML field is fast moving and constantly evolving.

Basic Qualifications
  • 5+ years of non-internship professional software development experience
  • 5+ years of programming with at least one software programming language experience
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Experience as a mentor, tech lead or leading an engineering team
  • Must have C/C++ Coding Experience
Preferred Qualifications
  • Bachelor's degree in computer science or equivalent
  • ML Communications (NCCL, NIXL, NVSHMEM)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants:

Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Companyโ€™s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations [https://amazon.jobs/content/en/how-we-hire/accommodations] for more information. If the country/region youโ€™re applying in isnโ€™t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits [https://amazon.jobs/en/benefits].

USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually

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