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You'll transform research prototypes into robust, deployable systems that end users can confidently put into production. This role uniquely combines software engineering, DevOps practices, and ML solution delivery. This job also offers telework once the candidate is familiar with the environment ***This position is eligible for a $5k bonus!

(Includes 20% SEP IRA contribution)*** 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).

Capabilities Transform research code and prototypes from our ML team into reliable, scalable solutions ready for end-user deployment 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 Required Qualifications 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 - $ 120.27 per 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. Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Affirmative Action Statement: Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans. Accommodations: Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood.

at 844-WYETECH x727 or [email protected] . We are happy to provide reasonable accommodations to ensure equal access to all candidates. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.