Job Title: Senior Hybrid Full-Stack ML Engineer-TS/SCI with Poly

Job Category: Engineering

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI with Polygraph

Employee Type: Regular

Percentage of Travel Required: None

Type of Travel: None

The Opportunity:

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.

Responsibilities:

• Productionize ML Research: Transform research code and prototypes from our ML team into reliable, scalable solutions ready for end-user deployment

• Build Diverse Solutions: Develop applications and services in C++, Java, or Python; create gRPC-based containerized solutions with clients in Java, Python, or Go Lang

• Own the Delivery Pipeline: Design and maintain CI/CD pipelines, ensuring smooth deployment from development to production

• Deploy ML Infrastructure: Configure and optimize containers using NVIDIA Triton Inference Server for high-performance inference

• Performance Engineering: Profile, tune, and optimize solutions for production workloads

• Documentation & Best Practices: Create comprehensive user documentation and establish deployment best practices

• Collaborate Cross-Functionally: Work directly with end users to understand requirements and with researchers to align development with real-world needs

Technologies You'll Work With:

• Languages: C++, Java, Python, Go Lang

• ML Stack: Py Torch, ONNX, TensorRT, NVIDIA Triton

• Infrastructure: Docker, Kubernetes, gRPC

• DevOps: CI/CD tools, monitoring, logging systems

• Domains: NLP, Computer Vision, ASR, Video Processing

What Makes This Role Unique:

• Impact: Your work directly enables researchers' innovations to reach real users

• Variety: Work across the full stack—from low-level optimization to deployment automation

• Learning: Exposure to cutting-edge ML research and practical production challenges

• Collaboration: Interface with both research teams and end users, shaping solutions from both directions

Qualifications:

Required:

• Active TS/SCI with Poly clearance

• 14+ years of software engineering experience

• Strong programming skills in at least two of: C++, Java, Python, or Go Lang

• Solid understanding of DevOps practices and CI/CD pipelines

• Experience with containerization(Docker) and orchestration (Kubernetes)

• Experience with machine learning frameworks (Py Torch 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

Desired:

ML & AI Technologies

• Familiarity with ML domains: Natural Language Processing, Computer Vision, Automated Speech Recognition, or Video Processing

• Knowledge of model formats and optimization (ONNX, TensorRT)

Technical Stack

• Protocol Buffers (protobuf) and gRPC

• NVIDIA technologies (CUDA, TensorRT, Triton Inference Server)

• Signal processing techniques and libraries

• Performance profiling and optimization tools

Professional Experience

• Experience supporting production ML systems

• Background in high-performance computing and/or GPU programming

What You Can Expect:

A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.

Pay Range:

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

The proposed salary range for this position is:

$131,800 - $290,000

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.