обновлено 12 дней назад
Software Development Engineer - Engineering Analysis Automation (HPC/AWS)
164 652 - 230 513$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Software Development Engineer - Engineering Analysis Automation (HPC/AWS): Building high-performance computing infrastructure, engineering analysis pipelines, integrations, APIs, and containerized environments with an accent on AWS, HPC orchestration, and automation. Focus on designing scalable self-service compute, integrating engineering analysis tools, and improving software delivery through CI/CD and DevOps practices.
Location: Greater Seattle Area, United States
Base pay for Washington applicants: $164,652.00–$230,512.80 per year. Other site ranges may differ.
Company
develops reusable, safe, and low-cost space vehicles and systems, supporting a long-term vision of people living and working in space.
What you will do
- Design, build, and maintain AWS-based HPC infrastructure and workflows using EC2, ParallelCluster, and SOCA.
- Develop integrations and automation pipelines for engineering analysis tools such as Ansys and Altair.
- Build containerized development and execution environments for Linux and macOS.
- Develop APIs, services, and orchestration layers using technologies such as Slurm and OpenMPI.
- Maintain Blue Analysis Templates and supporting toolchains.
- Implement CI/CD and DevOps practices while collaborating with engineers across disciplines to reduce manual effort.
Requirements
- Bachelor’s degree in computer science, information science, or a related field, or equivalent practical experience.
- 7+ years of hands-on software development experience with production systems.
- Strong AWS cloud infrastructure experience, particularly with compute-oriented services.
- Proficiency in at least one of Java, Python, or C#.
- Experience with Linux administration, Docker, build pipelines, REST APIs, Git, and DevOps practices.
- Applicants must be U.S. citizens or nationals, U.S. permanent residents, refugees, or individuals granted asylum in the United States.
Nice to have
- Experience with HPC-as-a-service platforms, AWS ParallelCluster, or SOCA.
- Familiarity with engineering analysis workflows or CAE tools.
- Experience supporting macOS and Linux development environments in parallel.
- Exposure to video streaming, real-time data pipelines, or gateway services.
- Interest in applying AI/ML to analysis automation and efficiency.
Culture & Benefits
- Safety, collaboration, inclusion, innovation, and shared engineering standards are emphasized.
- Medical, dental, vision, life insurance, disability coverage, and paid parental leave.
- 401(k) with a company match of up to 5%.
- Stock options for regular employees working at least 20 hours per week.
- Up to four weeks of paid time off, up to 14 company-paid holidays, and an Education Support Program.
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