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Remote Hpc System Engineer Jobs in Boston, MA (NOW HIRING)

Use of a ticketing system to manage support queries * Maintain documentation and comply with rules ... The ideal Jr. Systems Engineer will possess at least 1 year of IT Experience (Desktop Support ...

Senior Software Systems Engineer

Boston, MA ยท On-site +1

$156K - $244K/yr

... remote. Responsibilities: * Establish and maintain software development, testing, and delivery ... Document and review system designs, procedures, and workflows * Design scripts and tools to improve ...

Senior Software Engineer - File System

Boston, MA ยท On-site +1

$133K - $175K/yr

Senior Software Engineer - File System Engineering | File System Team | Full-Time | US Boston ... Strong written communication skills for design docs, reviews, remote collaboration, and operational ...

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Showing results 1-20

Remote Hpc System Engineer information

See Boston, MA salary details

$58.1K

$138.2K

$181.4K

How much do remote hpc system engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote hpc system engineer in Boston, MA is $138,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $170,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote HPC system engineer?

To thrive as a Remote HPC System Engineer, you need expertise in Linux system administration, parallel computing, networking, and a degree in computer science or related field. Familiarity with job schedulers (like Slurm), cluster management tools, scripting languages (such as Python or Bash), and certifications like CompTIA Linux+ or Red Hat Certified Engineer are highly valuable. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These skills ensure the reliable operation, optimization, and scalability of HPC systems in distributed environments.

What are some common challenges faced by remote HPC system engineers, and how can they be managed effectively?

Remote HPC System Engineers often encounter challenges such as troubleshooting complex hardware or software issues without physical access, ensuring seamless system performance, and coordinating with geographically dispersed teams. These can be managed by leveraging strong remote monitoring tools, maintaining clear documentation, and establishing effective communication channels with on-site staff. Proactively scheduling regular system health checks and participating in virtual team meetings can also help address problems quickly and maintain high system reliability.

What is the difference between Remote Hpc System Engineer vs Remote Cloud Infrastructure Engineer?

AspectRemote Hpc System EngineerRemote Cloud Infrastructure Engineer
CredentialsTypically requires Linux certifications, HPC-specific trainingOften requires cloud platform certifications (AWS, Azure, GCP)
Work EnvironmentHigh-performance computing clusters, research labsCloud platforms, data centers, virtualized environments
Industry UsageResearch, scientific computing, academiaTech, finance, enterprise IT
Search/Comparison IntentUnderstanding HPC-specific roles vs cloud rolesComparing on-premise HPC vs cloud infrastructure

The Remote Hpc System Engineer focuses on managing and optimizing high-performance computing clusters, often in research or scientific environments. In contrast, the Remote Cloud Infrastructure Engineer specializes in designing and maintaining cloud-based infrastructure across various industries. While both roles require technical expertise in system management, their environments and certifications differ, catering to distinct operational needs.

What is a remote HPC system engineer?

Remote HPC (High Performance Computing) System Engineers are IT professionals who design, implement, manage, and troubleshoot HPC systems and clusters from a remote location. They work with advanced computing infrastructure that supports scientific research, complex simulations, and large-scale data processing. Their responsibilities include configuring hardware and software, monitoring system performance, ensuring security, and providing technical support to users, all while working off-site. This role requires strong expertise in HPC technologies, operating systems like Linux, networking, and scripting, as well as effective communication skills for collaborating with distributed teams.

What are popular job titles related to Remote Hpc System Engineer jobs in Boston, MA?

For Remote Hpc System Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Hpc System Engineer jobs in Boston, MA look for?

The top searched job categories for Remote Hpc System Engineer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Remote Hpc System Engineer jobs?

Cities near Boston, MA with the most Remote Hpc System Engineer job openings:

Infographic showing various Remote Hpc System Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $138,206 per year, or $66.4 per hour.

Senior System Software Engineer for Kubernetes Fabric Integration

Cornelis Networks

Boston, MA โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 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 of architects, engineers, and business professionals with a proventrack recordof 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 Networksis seeking a talented and experiencedSenior System Software Engineer for Kubernetes Fabric Integrationto build the bridge between our high-performance interconnect hardware and the cloud-native orchestration ecosystem. In this role, you will be extending the capabilities of Kubernetes to manage highly specialized large scale network fabrics. You will design, develop and test advanced fabric management software that will be deployed in massive AI and HPC clusters. You will design, build, and maintain Kubernetes operators, controllers, and other components necessary to ensure our high-performance interconnect solutions can be seamlessly deployed, managed, and scaled in containerized environments. This is a critical role that will directly impact our customers' ability to leverage Cornelis Networks' technology in large-scale, modern data centers.

KeyResponsibilities:

  • Architect and Design:Lead the design of robust, scalable solutions for integrating Cornelis Networks'platform and fabric management softwarewith Kubernetes.
  • Develop Kubernetes Operators:Build and maintain custom Kubernetes Operators and Controllers in Go to manage the lifecycle of our software and hardware components within a cluster.
  • Cloud-Native Integration:Develop solutions that allow for the seamless orchestration of our high-performancefabric services and platform management toolsalongside other containerized workloads.
  • Comprehensive Testing: Develop end-to-end automated validation frameworks to stress-test the product.
  • Cluster Management:Work on extending Kubernetes for managing specialized hardware, scheduling, and networking requirements unique to HPC and AI workloads.
  • Collaborate:Partner with the core platform, fabric, and hardware teams to ensure a cohesive and performant end-to-end solution.
  • Upstream Contribution:Engage with the open-source community and contribute to relevant projects within the cloud-native ecosystem.
  • Documentation and Best Practices:Author high-quality technical documentation and champion best practices for software development in a cloud-native environment.
  • Leverage AI-powered toolsto accelerate software development workflows, including intelligent code generation, refactoring, and performance optimization.
  • Apply AI-driven techniquesfor automated code review, testing, and quality assurance to improve reliability and reduce development cycles.


MinimumQualifications:

  • 5+ years of professional software development experience.
  • Proven experience in designing and developing solutions for Kubernetes, including building custom operators/controllers using tools like the Operator SDK orKubebuilder.
  • Expert level proficiency in usingGo for systems programming. Experience with C++ or Python is also valuable.
  • Knowledge of Multithreaded Programming.
  • Deep understanding of Kubernetes architecture, including the control plane, networking (CNI), and storage (CSI) interfaces.
    • Hands-on experience with container technologies such as Docker orcontainerd.
    • Demonstrable experience in integrating existing software platforms or services with Kubernetes.
    • Solid understanding of high-performance data center networking environment.
    • Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field.


    Preferred Qualifications:

    • Experience with high-performance computing (HPC) or high-performance networking.
    • Familiarity with performance-sensitive environments and low-latency application requirements.
    • Experience with monitoring and observability stacks like Prometheus, Grafana, andFluentd.
    • Knowledge of CI/CD principles and experience building deployment pipelines.
    • Contributions to open-source projects in the Kubernetes or cloud-native ecosystem.

    Location:This is a remote position for employeesresidingwithin 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.