Experienced Software Engineer to design, implement, validate, and productize algorithms transforming complex diagnostics and operational data into actionable insights, focusing on analytical and algorithmic layers migrating from AWS to Databricks.
Responsibilities
Develop and maintain algorithms for processing, analyzing, and modeling machine diagnostics and operational data.
Build Python-based computational workflows using appropriate scientific computing and data analysis.
Analyze complex datasets to identify patterns, derive useful features, and support predictive or diagnostic insights.
Develop and improve algorithms in areas such as signal processing, image analysis, anomaly detection, predictive analytics, and other data-driven applications.
Perform algorithm testing, validation, benchmarking, and performance evaluation against defined criteria.
Requirements
Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Physics, Electronics, Engineering, or a related technical discipline.
Contribute to the design, implementation, validation, and productization of algorithms that transform complex diagnostics and operational data into actionable insights.
Responsibilities
Develop and maintain algorithms for processing, analyzing, and modeling machine diagnostics and operational data.
Build Python-based computational workflows using appropriate scientific computing and data analysis.
Analyze complex datasets to identify patterns, derive useful features, and support predictive or diagnostic insights.
Develop and improve algorithms in areas such as signal processing, image analysis, anomaly detection, predictive analytics, and other data-driven applications.
Perform algorithm testing, validation, benchmarking, and performance evaluation against defined criteria.
Requirements
Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Physics, Electronics, Engineering, or a related technical discipline.
Provide support for the Capabilities Assessment Branch through systems engineering, modeling, simulation, and data analysis for Integrated Air and Missile Defense (IAMD).
Locations (2)
McLean, Virginia, United States
Huntsville, Alabama, United States
Responsibilities
Support the Capabilities Assessment Branch and perform system engineering in the IAMD domain in coordination with architecture analysis efforts.
Model and simulate operational concepts and associated data analysis.
Oversee and develop integrated simulation tools to conduct wargaming to support IAMD analysis within Nimble Fire and JRICM applications.
Identify IAMD objectives, methodologies, MOEs and MOPs, and develop algorithms using tools such as EADSIM and WILMA.
Perform other duties in support of this effort.
Requirements
Bachelor's degree in engineering (aerospace, electrical, mechanical, or systems engineering)
Engineer Systems/Principal Engineer Systems (Performance Analysis) - AHT
Perform technical planning, system integration, verification and validation, cost and risk, and supportability and effectiveness analyses for total systems within the C4MD Business Unit.
Perform technical planning, system integration, verification and validation, cost and risk, and supportability and effectiveness analyses for total systems
Analyze systems at all levels of total system product to include concept, design, fabrication, test, installation, operation, maintenance, and disposal
Ensure logical and systematic conversion of customer or product requirements into total systems solutions
Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth and optimization initiatives
Compensation
For San Francisco, CA-based roles: The base salary range for this role is USD $161,000 per year - USD $179,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp.
Responsibilities
Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth and optimization initiatives
Design and analyze experiments, communicating results that draw detailed and actionable conclusions
Analyze and contribute to development of optimization algos and ML models for use in mobility matching
Collaborate with cross-functional teams such as product, engineering and operations to drive system development end-to-end from conceptualization to final product
Requirements
Ph.D. in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research or other quantitative fields
M.S. in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research or other quantitative fields
Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research or other quantitative fields
Nice to have: self-guided work
Principal Algorithm and Signal Processing Engineer
Design, simulate, and implement advanced multivariable control systems for process equipment in semiconductor and advanced materials fabrication.
Compensation
The expected salary range for this role in Portland, OR is $85,500 - $106,900. Exact pay will be commensurate with experience and qualifications.
Responsibilities
Conduct multi-input multi-output (MIMO) control design, simulations, data analysis and algorithm development, and controller implementation for a wide range of systems.
Performing data analysis and signal processing to condition data.
Developing models in MATLAB/Simulink and running simulations with them to match customer data.
Performing MIMO model-based control design using MATLAB/Simulink and tools developed in-house.
Performing software development tasks such as algorithm development, coding and debugging, implementation on hardware platforms, and simple graphical user interface (GUI) design.
Requirements
Master’s degree in Aeronautics and Astronautics, Electrical, Mechanical, Chemical Engineering, or related engineering field
An NGC DS Systems Engineer performs technical planning, system integration, verification and validation, cost and risk, and supportability and effectiveness analyses for total systems.
Senior Remote Sensing Engineer responsible for modeling and simulation of remote electro-optical/infrared sensors and constellations for missile warning and tracking applications.
Interface directly with customers to define signal processing and detection performance analysis needs for Missile Warning and Tracking sensors, constellations and architectures
Provide expert technical consultation and advice to government and contractors in the areas of signal processing, tracking, algorithm development, and system performance
Lead development and refinement of sensing, scene and environmental models to assess OPIR sensors, system and constellation-level performance
Coordinate tasking and deliverables for a team of technical contributors as the senior technical authority
Mentor junior staff, providing technical guidance and developing their insight for remote sensing systems and analysis
Requirements
Advanced degree from an accredited university in Optics, Physics, Astronomy, Imaging Science, or another related discipline
Nice to have: Experience supporting the Department of Defense Customers
Nice to have: Experience supporting OPIR systems
Nice to have: Leadership of cross-organizational teams
Lead the design and application of cutting-edge signal processing and machine learning techniques to solve complex space-based sensing and spacecraft control challenges.
Engage directly with customers and mission partners to understand unique requirements and shape technical solutions that address critical national security needs.
Architect autonomous sensor management and processing algorithms that enable real-time processing and autonomy on orbiting platforms.
Guide multi-disciplinary teams of researchers and engineers, providing the technical vision and mentorship necessary to move from early concept to integration and system verification.
Drive business development and proposal efforts, identifying new technical opportunities and shaping the future direction of the sector’s research portfolio.
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