1291 Computer Science jobs in Laurel,MD

Capital One

Mc Lean, VA 22101

CACI International Inc

Bethesda, MD 20817

High School Diploma or GED
3-5 years of experience with setting up, programming, editing and operating CNC milling and lathe machines
Experience with machining metals (aluminum, stainless steel) and other materials
Experience with design process and mechanical assembly. Must be able to read and interpret drawings and blueprints
Must be able to obtain and maintain an DoD Secret Clearance
Effective verbal and written communication in English
Basic MS Windows skills
Ability to perform basic mathematical computations
Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations
PHYSICAL DEMANDS - Ability to move or transfer products with an overhead crane; Ability to lift 50 lbs. when required; While performing the duties of the job, the employee is regularly required to stand, walk, and reach with hands and arms; Specific vision abilities required by this job include close vision, distance vision, color vision, depth perception, and ability to adjust focus

Lockheed Martin

Annapolis Junction, MD 20701

TS/SCI w/ FSP
Twenty (14) years' experience as a SWE in programs and contracts of similar scope, type, and complexity is required.
Bachelor's degree in Computer Science or related discipline from an accredited college or university is required.
Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree.
Experience as a Software Engineer with knowledge assisting in the design, development, testing, and debugging of software solutions, with a focus on Linux operating systems.
Strong Familiarity with programming languages such as Java.

KPMG

Washington, DC 20002

Minimum of five years of recent experience with advisory related projects within a quantitative analysis firm, consulting firm, or background in a scientific laboratory
PhD in the areas of Computer Science, Mathematics, Mathematical Statistics, Electrical Engineering is required
A portfolio of projects (such as via GitHub, personal website, or other platforms) that demonstrates expertise in building and deploying AI/ML models and NLP solutions
Experience building data science or LLM-based products, with a demonstrable track record of your personal contributions to the codebase
Demonstrated experience in the development, application and interpretation of complex economic and statistical modeling frameworks using Python or R
Applicants must be authorized to work in the US without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)