Software Engineer 2 (Hybrid)

• Develop applications and services in C++, Java, or Python; create gRPC-based containerized solutions with clients in Java, Python, or GoLang
• Design and maintain CI/CD pipelines, ensuring smooth deployment from development to production
• Configure and optimize containers using NVIDIA Triton Inference Server for high-performance inference
• Profile, tune, and optimize solutions for production workloads
• Create comprehensive user documentation and establish deployment best practices
• Work directly with end users to understand requirements and with researchers to align development with real-world needs
• Your work directly enables researchers' innovations to reach real users
• Work across the full stack-from low-level optimization to deployment automation
• Exposure to cutting-edge ML research and practical production challenges
• Interface with both research teams and end users, shaping solutions from both directions

• TS/SCI with agency appropriate poly
• 14+ years of software engineering experience
• Strong programming skills in at least two of: C++, Java, Python, or GoLang
• Solid understanding of DevOps practices and CI/CD pipelines
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Experience with machine learning frameworks (PyTorch preferred)
• Prior work in ML engineering or ML infrastructure
• Ability to write clean, maintainable code with strong software engineering fundamentals
• 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

Required Technical Skills

• Languages: C++, Java, Python, GoLang
• ML Stack: PyTorch, ONNX, TensorRT, NVIDIA Triton
• Infrastructure: Docker, Kubernetes, gRPC
• DevOps: CI/CD tools, monitoring, logging systems
• Domains: NLP, Computer Vision, ASR, Video Processing

Desired Technical Skills

• Familiarity with ML domains: Natural Language Processing, Computer Vision, Automated Speech Recognition, or Video Processing
• Knowledge of model formats and optimization (ONNX, TensorRT)
• Protocol Buffers (protobuf) and gRPC
• NVIDIA technologies (CUDA, TensorRT, Triton Inference Server)
• Signal processing techniques and libraries
• Performance profiling and optimization tools
• Experience supporting production ML systems
• Background in high-performance computing and/or GPU programming

The Benefits Package

• Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds.

Additional benefits include:

• Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs.

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

Company Environment & Perks

• 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.

$64.04 - $120.27 an hour

Pay Range: $64.04 - $120.27per hour*

Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications, and geographic location. *Hourly pay rates reflect the pre-benefit gross wage amounts.