Job DescriptionACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIREDJoin our mission-driven team! Build high-performance, GPU-enabled AI/ML tools using AWS Terraform, C++, Python, or Go. Partial telework is available once you are fully acclimated. If you are a collaborative developer with a passion for cutting-edge cloud infrastructure and advanced analytics, we want you on our team! At Nyla, we pride ourselves on delivering high-performing, reliable solutions that advance our nation's mission. We are seeking an upbeat, solution-focused engineer to join our team, working alongside passionate technologists to build and optimize mission-critical streaming data analytic systems.
In this role, you will leverage modern distributed systems and cloud environments to tackle complex data challenges. From writing high-performance, GPU-enabled code to deploying infrastructure as code, your work will ensure our applications deliver reliable intelligence at scale. If you are a straightforward engineer who loves pushing technical boundaries, let's achieve more together!
The annual base salary range for this role is $142,000-$168,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
Required Skills- Language Proficiency: Solid programming experience developing with C++, Python, and/or Golang.
- Cloud Infrastructure: Hands-on experience utilizing Terraform to provision and manage services within AWS cloud environments.
- Advanced Analytics: Experience with AI/ML development or framework integration.
- High-Performance Computing: Demonstrated experience writing high-performance or GPU-enabled applications.
- Data Systems: Familiarity with architecture and development for large-scale streaming data analytic systems.
Education:
Bachelor's degree in a technical discipline (Computer Science, System Engineering, or related field) preferred, or equivalent professional experience with 7 years of experience, or 11 years of relevant experience.
Desired Skills- Exposure to modern deep learning libraries or frameworks.
- Proactive approach to optimizing code performance and identifying infrastructure bottlenecks.
- Strong communication skills with a team-first mindset, focused on delivering clear, actionable technical solutions.
