[Hiring] Software Engineer 2 - Machine Learning @Wyetech

Role Description

Wyetech is seeking a Software Engineer to support Machine Learning as a Deployment Engineer who 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 working directly with end users to understand requirements and with researchers to align development with real-world needs.
• Build the 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.

Qualifications

• Bachelor’s Degree in Computer Science or a related discipline.
• 14+ years of software engineering experience.
• Four (4) years of additional software development experience on comparable projects 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.

Requirements

• 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).
• Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required (e.g. Active TS/SCI security clearance with agency appropriate polygraph).

Benefits

• 25% telework.
• Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations.
• Full-time employees have the option to participate in a variety of voluntary benefit plans including:
  • A Choice of Medical Plan Options, some with Health Savings Account (HSA).
  • Vision and Dental.
  • Life and AD&D Benefits.
  • Short and Long-Term Disability.
  • Hospital Indemnity, Accident, and Critical Illness Insurances.
  • Optional Identity Theft and Legal Protection Services.
  • Employee Referral Bonus Eligibility up to $10,000.
  • Mobility Among Wyetech-supported Contracts.
  • Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS.
  • Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party.
  • Employees receive two complementary branded clothing orders annually.
• Salary Range: $64.04 - $120.27 USD Hourly.