Application close date:
Applications will be accepted on an ongoing basis until the requisition is closed.
About the RoleWe are looking for a skilled, motivated engineer to join a team developing automated analysis tools and methods, integrations with design and manufacturing software, and reporting/certification automations to drive efficiency throughout engineering. As a software engineer, you will be a key member of a team of experts supporting physics and engineering analysis by developing software pipelines and solutions to enable the future state of analysis.
Passion for our mission and vision is required!
Responsibilities:- Design, build, and maintain analysis software tools and methods, including converting existing tools into modern languages following software best practices
- Leverage HPC infrastructure and workflows on AWS (EC2, S3) to support engineering analysis automation
- Integrate inputs and automate output formats for 3rd-party analysis tools (e.g., Ansys, Altair) to improve engineer productivity and throughput.
- Build and maintain containerized development and execution environments for analysis software across Linux and macOS platforms.
- Develop APIs, services, and job orchestration layers (e.g., Slurm, OpenMPI) to enable scalable, self-service compute for engineering teams.
- Contribute to the development and maintenance of Blue Analysis Templates and supporting toolchains.
- Implement CI/CD pipelines and DevOps practices for analysis software delivery.
- Collaborate with engineers across disciplines to identify automation opportunities and develop solutions that reduce manual effort.
- Mentor a team of structural and mechanical engineers on best practices for software development and deployment.
Qualifications:- BA/BS in computer science, information science, or related field; or equivalent practical experience.
- 7+ years of hands-on software development experience with production systems.
- Strong experience with AWS cloud infrastructure, particularly compute-oriented services (EC2, Image Builder, ParallelCluster or equivalent).
- Proficiency in at least one of: Java, Python, or C#.
- Experience with Linux system administration, containerization (Docker), and build pipelines.
- Familiarity with HPC concepts: job schedulers (Slurm), MPI, cluster management.
- Experience developing and consuming REST APIs.
- Solid understanding of version control (Git) and DevOps practices.
- Strong code review experience, including modernization of legacy tools.
- Strong interpersonal and communication skills with the ability to work across teams.
Desired:- Degree or educational certificate in Mechanical Engineering, Aerospace Engineering, Electrical Engineering, or Physics.
- Experience with HPC-as-a-service platforms
- Familiarity with engineering analysis workflows or CAE tools.
- Experience supporting macOS and Linux development environments in parallel..
- Interest in applying AI/ML to improve analysis automation and efficiency.
Base Pay Range for:
WA applicants is $164,652.00 - $230,512.80Other site ranges may differ
