Machine Learning - Senior Software Engineer - Python, DevOps
About The Position
Erias Ventures is seeking engineers who wish to grow their careers and want to become part of a technically strong and growth-oriented company focused on bringing innovative solutions to the difficult mission problems facing our customers. The ML Deployment Engineer moves video, image, speech, and text analytics (VISTA) models from research prototype to production inference services that downstream engineering teams can run in Kubernetes or similar environments. You will work individually or as part of a small research/SDK team to collaborate cross-functionally, build CI/CD and packaging around Python on NVIDIA Triton Inference Server, tune pipelines for throughput, and support them through customer transition. You will also review and test software components, create user documentation, resolve system problem reports, and contribute to system design. This position is eligible for partial telework.
Requirements
- Fourteen (14) years' experience as a SWE in programs and contracts of similar scope, type, and complexity is required.
- Bachelor’s degree in Computer Science or related discipline from an accredited college or university is required.
- Four additional (4) years of SWE experience on projects with similar software processes may be substituted for a bachelor’s degree.
- Strong Python experience
- Solid understanding of DevOps practices and CI/CD pipelines
- Intermediate/Advanced experience with containerization (Docker) container creation and performance optimization
- Beginner/Intermediate experience with orchestration tools such as Kubernetes
- Experience taking projects from prototype to production
- Strong communication skills for technical and non-technical audiences
- Self-motivated with ability to work independently and collaboratively
- A current Top-Secret/SCI with polygraph security clearance is required.
- Candidates cannot be sponsored or nominated for a government security clearance under this position.
Nice To Haves
- Software Development experience: C++, Java, GoLang, CUDA
- Experience supporting production ML systems
- Familiarity with ML domains: Natural Language Processing, Computer Vision, Automated Speech Recognition, or Video Processing
- Knowledge of model formats and optimization (ONNX, TensorRT)
Responsibilities
- Move video, image, speech, and text analytics (VISTA) models from research prototype to production inference services.
- Build CI/CD and packaging around Python on NVIDIA Triton Inference Server, with TensorRT execution providers and Business Logic Scripting (BLS) in-service pipelines.
- Tune pipelines for throughput, and support them through customer transition.
- Review and test software components against design requirements.
- Create comprehensive user documentation and establish deployment best practices.
- Resolve system problem reports and contribute to system design, including hardware/software trade-offs, software reuse, infrastructure-as-code, and requirements analysis from the system level down to individual components.
Benefits
- Above Market Hourly Pay
- 11% Roth or Traditional 401k with Immediate Vesting and Deposit
- Spot Bonuses for Assisting with Business Development and Company Growth
- Professional Development Bonuses for Certificates and Degrees
- Company subsidized Medical Coverage
- 100% Company Paid Vision and Dental Coverage
- 100% Company Paid Long Term Disability , Short Term Disability , and Group Life Insurance
- Monthly Wellness Reimbursement
- Paid Time Off with Flexible Work Schedules and Birthday Off
- Amazon Prime Membership and Monthly Internet Reimbursement
- Technology and Productivity Allowance for Equipment and Supplies
- Morale Building and Company Events to Celebrate our Successes and Build our Community
- Onboarding and Annual Swag
- Company Paid Professional Development and Training
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What This Job Offers
Job Type
Full-time
Career Level
Senior
