Job Description Remote Work: No Job Number: R0222686 Location: Annapolis Junction,MD,US

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The Opportunity: 

As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to test and evaluate ML infrastructure and algorithms makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support the government mission.

Join us. The world can’t wait. 

You Have:  

Experience with supporting and debugging Al applications used by internal applied researchers to improve their software workflows for production

Experience with system administration and deploying Machine Learning (ML) or High Performance Computing (HPC) workloads in production

Experience with developing validation plans, benchmarks, and test scripts to evaluate stability, performance, and power consumption of hardware systems such as GPU-based HPCs and AI applications

Knowledge of Test and Evaluation (T&E) for deep learning software stacks, with a particular emphasis on pre-training and inference of generative workloads

Ability to deploy test plans to profile, optimize, and scale test-time compute to maximize systems for latency, throughput, and efficiency performance across a range of Machine Learning (ML) workloads

Ability to utilize Deep Learning Frameworks such as PyTorch, JAX, and Tensorflow

Ability to implement GPU programming and distributed and parallel computing algorithms

Ability to interact with internal researchers to help specify benchmarking plans and validation test scripts, and prototype and analyze emergent techniques in algorithmic and hardware system optimizations

TS/SCI clearance with a polygraph

Master's degree in Computer Science, Artificial Intelligence, Physics, or Applied Mathematics

Nice If You Have:  

Experience with profiling a diversity of hardware systems, such as GPUs, FPGAs, or ASICS, for maximizing latency, throughput, and efficiency

Knowledge of specific Integrated Circuits (ASICS)

Knowledge of ML Frameworks and compiler tooling for AI/ML application testing

Clearance: 

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.