Research Support Engineer - BOOZ ALLEN HAMILTON INTERNATIONAL (U.K.) : Job Details

Join to apply for the Research Support Engineer role at BOOZ ALLEN HAMILTON INTERNATIONAL (U.K.) LTD2 days ago Be among the first 25 applicantsJoin to apply for the Research Support Engineer role at BOOZ ALLEN HAMILTON INTERNATIONAL (U.K.) LTDGet AI-powered advice on this job and more exclusive features.The OpportunityAs 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.Remote WorkNoJob NumberR0222686Location:Annapolis Junction,MD,USShare Job ViaShareFacebookLinkedInXEmailResearch Support EngineerThe OpportunityAs 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 productionExperience with system administration and deploying Machine Learning (ML) or High Performance Computing (HPC) workloads in productionExperience 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 applicationsKnowledge of Test and Evaluation (T&E) for deep learning software stacks, with a particular emphasis on pre-training and inference of generative workloadsAbility 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) workloadsAbility to utilize Deep Learning Frameworks such as PyTorch, JAX, and TensorflowAbility to implement GPU programming and distributed and parallel computing algorithmsAbility 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 optimizationsTS/SCI clearance with a polygraphMaster's degree in Computer Science, Artificial Intelligence, Physics, or Applied MathematicsNice If You Have:Experience with profiling a diversity of hardware systems, such as GPUs, FPGAs, or ASICS, for maximizing latency, throughput, and efficiencyKnowledge of specific Integrated Circuits (ASICS)Knowledge of ML Frameworks and compiler tooling for AI/ML application testingClearance: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.CompensationAt 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 StatementAs 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 ModelOur 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-DiscriminationAll 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.Seniority level Seniority level Mid-Senior levelEmployment type Employment type Part-timeJob function Job function Engineering and Information TechnologyIndustries Business Consulting and ServicesReferrals increase your chances of interviewing at BOOZ ALLEN HAMILTON INTERNATIONAL (U.K.) LTD by 2xSign in to set job alerts for “Research Engineer” roles. 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