Wyetechllc3mo ago

USD 64.04–120.27/yr

Software Engineer 2 (Hybrid)

United States·LaurelSoftware Developer (Full-Time)mid

Software EngineerSoftware Engineering

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Quick Summary

Overview

At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers.

Technical Tools

cppdockergojavakubernetespythonpytorchtypescriptci-cdmachine-learning

At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry.

We're seeking a Software Engineer to bridge the critical gap between cutting-edge ML research and production-ready solutions. 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).

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

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

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

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

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

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.