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Remote Computational Geometry Developer Jobs in Cambridge, MA

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Leverage statistics and computational techniques in problem solving. * Be familiar with common NLP ...

... imaging, remote sensing, computer vision, mental health, data fusion, computational medicine ... Participation in these projects will include scientific programming, data analysis, manuscript ...

Data Scientist II, Outcomes Research

Boston, MA ยท On-site +1

$100K - $150K/yr

Demonstrated computational skills using R and SQL, specifically applied to large-scale healthcare ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Data Scientist II, Outcomes Research

Boston, MA ยท On-site +1

$100K - $150K/yr

Demonstrated computational skills using R and SQL, specifically applied to large-scale healthcare ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Showing results 41-55

Remote Computational Geometry Developer information

See Cambridge, MA salary details

$51.4K

$148.9K

$338.8K

How much do remote computational geometry developer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote computational geometry developer in Cambridge, MA is $148,926.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,000.00 and $169,400.00 per year, depending on experience, location, and employer.

What is the difference between Remote Computational Geometry Developer vs Remote Software Engineer?

AspectRemote Computational Geometry Developer

Remote Computational Geometry Developers focus on algorithms and data structures related to geometric computations, often requiring specialized knowledge in computational geometry, mathematics, and programming. They typically work in industries like CAD, GIS, or robotics, often in a remote setting. Remote Software Engineers have a broader scope, working on various software applications across industries, with less emphasis on geometric algorithms. Both roles may require similar programming skills and remote work experience, but the core focus differs significantly.

What are some common challenges faced by remote computational geometry developers, and how can they be addressed?

Remote computational geometry developers often face challenges such as collaborating effectively with distributed teams, ensuring code consistency, and managing complex mathematical algorithms without immediate in-person support. To overcome these, regular virtual meetings, clear documentation, and the use of collaborative development tools like version control systems are essential. Additionally, leveraging online forums and peer code reviews can help maintain high-quality work and foster ongoing learning.

What are the key skills and qualifications needed to thrive as a remote computational geometry developer?

To thrive as a Remote Computational Geometry Developer, you need strong mathematical foundations in computational geometry, proficiency in programming languages like C++, Python, or Java, and typically a degree in computer science or a related field. Familiarity with algorithm libraries (such as CGAL), version control systems (like Git), and cloud-based collaboration tools is essential. Excellent problem-solving skills, attention to detail, and clear communication are important soft skills for collaborating remotely and tackling complex geometric challenges. These combined skills ensure you can efficiently develop robust algorithms, collaborate with distributed teams, and deliver accurate, high-performance solutions.

What is a remote computational geometry developer?

A Remote Computational Geometry Developer is a software engineer who specializes in designing, developing, and optimizing algorithms that solve geometric problems, such as collision detection, mesh generation, or spatial analysis. This role involves working remotely, often collaborating with teams in fields like computer graphics, robotics, CAD, or GIS. Developers in this area typically use programming languages like C++, Python, or Java and apply advanced mathematical concepts to create efficient and scalable geometric solutions.
What are popular job titles related to Remote Computational Geometry Developer jobs in Cambridge, MA? For Remote Computational Geometry Developer jobs in Cambridge, MA, the most frequently searched job titles are:
What job categories do people searching Remote Computational Geometry Developer jobs in Cambridge, MA look for? The top searched job categories for Remote Computational Geometry Developer jobs in Cambridge, MA are:
What cities near Cambridge, MA are hiring for Remote Computational Geometry Developer jobs? Cities near Cambridge, MA with the most Remote Computational Geometry Developer job openings:
Infographic showing various Remote Computational Geometry Developer job openings in Cambridge, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $148,926 per year, or $71.6 per hour.

Senior System Software Engineer for Kubernetes Fabric Integration

Cornelis Networks, Inc.

Boston, MA โ€ข Remote

$125K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 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 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 seeking a talented and experienced Senior System Software Engineer for Kubernetes Fabric Integration to 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. 

Key Responsibilities: 

  • Architect and Design: Lead the design of robust, scalable solutions for integrating Cornelis Networks' platform and fabric management software with 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-performance fabric services and platform management tools alongside 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 tools to accelerate software development workflows, including intelligent code generation, refactoring, and performance optimization. 
  • Apply AI-driven techniques for automated code review, testing, and quality assurance to improve reliability and reduce development cycles. 


Minimum Qualifications: 

  • 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 or Kubebuilder. 
  • Expert level proficiency in using Go 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 or containerd. 
    • 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, and Fluentd. 
    • 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 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.