Software Engineer 2 (Hybrid)

Wyetech; Laurel (MD); Hybrid; USD 88,000 - 165,000; Full time

Benefits offered by this job

SEP IRA 20%

200 hours PTO

Medical plan + HSA

Vision and Dental

Life and AD&D

Disability

Hospital Indemnity

Identity Theft Protection

Employee Referral Bonus up to $10,000

Mobility among contracts

Team events

Two branded clothing orders

Job summary

Wyetech, LLC seeks an ML Deployment Engineer to move video, image, speech, and text analytics from research to production inference services. You will work in Kubernetes or similar environments, collaborating with end users and researchers to align development with real-world needs.

You will build CI/CD around Python on NVIDIA Triton, tune pipelines for throughput, and create deployment documentation while supporting customer transitions. Active TS/SCI clearance is required.

Qualifications

• TS/SCI with agency appropriate polygraph.
• Bachelor's Degree in Computer Science or 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.

Responsibilities

• Build the CI/CD and packaging around Python on NVIDIA Triton Inference Server, with TensorRT execution providers and 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 deploy best practices.

Skills

Python

CI/CD

Docker

Kubernetes

Production deployment

Communication

Independence

Education

Bachelor's degree in Computer Science

Tools

NVIDIA Triton Inference Server

TensorRT

Job description

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.

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

25% Telework

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

• Collaborate cross-functionally working directly with end users to understand requirements and with researchers to align development with real-world neds.
• 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 contributes to system design, including hardware/software trade-offs, software reuse, infrastructure-as-code, and requirements analysis from the system level down to individual components.

Required Qualifications

• TS/SCI with agency appropriate poly
• 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.

Required Technical Skills

• 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

Desired Technical Skills

• 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)

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.

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 [e-mail]. We are happy to provide reasonable accommodations to ensure equal access to all candidates.