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
Nice to have: communication across technical and non-technical audiences
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
Skills
K
Senior Lidar Systems & Geospatial Engineering Lead
Lead technical QA/QC and characterization of airborne lidar datasets and derived elevation products against 3DEP, ASPRS, contractual, and project-specific requirements.
Responsibilities
Lead technical QA/QC and characterization of airborne lidar datasets and derived elevation products
Develop and implement advanced methods for evaluating lidar point density, spatial distribution, completeness, and localized deficiencies
Perform vertical accuracy assessments using GNSS, total-station, terrestrial laser scanning, UAS, and other independent reference datasets
Investigate lidar anomalies and determine whether observed deficiencies are associated with acquisition, calibration, classification, processing, or product-generation workflows
Develop scalable Python-based tools for processing tens of millions of points per tile and thousands of production datasets
Support the development and execution of audio tuning strategies for various vehicle platforms and tune vehicle audio systems to deliver a superior in-vehicle audio experience.
Compensation
This position is a salary grade 7-8 and ranges from $84,480- $166,200.
Responsibilities
Support the development and execution of audio tuning strategies for various vehicle platforms.
Tune vehicle audio systems to deliver a superior in-vehicle audio experience.
Collaborate with key internal and external cross functional stakeholders including hardware engineers, software developers, and vehicle design teams to deliver seamlessly integrated audio solutions into vehicle systems.
Develop analysis methods and conduct acoustic measurements to verify and maintain sound quality and performance against design specifications and standards.
Be a resource for model engineering teams and technical expert for in-vehicle acoustics and audio systems, assisting in issue troubleshooting, program delivery, and continuous improvement/benchmarking initiatives.
Lead applied trajectory prediction and aircraft-response modeling for a safety-critical Run-Time Assurance product.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Lead development, tuning, and validation of TPA and recovery-behavior models using aircraft performance data, command-response assumptions, 3DOF/6DOF flyout concepts, wind effects, uncertainty bounds, and maneuver constraints.
Build Python-based analysis, simulation, HIL, and flight-test workflows to compare predicted versus observed aircraft behavior, identify model gaps, tune parameters, and maintain regression datasets.
Integrate and evaluate trajectory-prediction behavior through off-the-shelf or custom autopilot interfaces, including command modes, vehicle-state inputs, latency, mode transitions, control limits, and telemetry analysis.
Support hardware integration and flight-test campaigns across relevant platforms; help evolve trajectory-prediction and safety behaviors from single-aircraft use cases toward multi-agent collaborative CONOPS.
Produce algorithm handoff artifacts and contribute scoped C/C++ implementation, testing, and debugging as needed.
Physical scientist/software developer with a background in physics and/or mathematics and strong software coding skills to work onsite at the Stennis Space Center, Mississippi contributing to Navy Research Laboratory research and development of operational tools for Navy use.
Compensation
$86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Responsibilities
Collaborating with mathematics, physics, and acoustics researchers
Writing code, usually in Python or Matlab, to prototype capabilities
Developing algorithms in collaboration with researchers
Converting prototypes into executable programs in Python, C/C++, or FORTRAN
Interfacing with libraries developed in these and other languages, such as Python or Java
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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