Top Engineering Jobs

Build and maintain scalable backend systems and data pipelines for healthcare workflows. Collaborate cross-functionally to automate provider and patient workflows, prototype features, ship production-ready code, and ensure systems are maintainable and scalable.

Design, develop, integrate, and evaluate EW and EMSO capabilities using modeling and simulation tools to assess system performance, support tactics and acquisition decisions, conduct trade studies, and provide technical guidance to program managers and operators. Work includes RF/EO/IR sensor engineering, signal processing, testing, and compliance with Air Force and DoD standards.

Independently assess THAAD system-level requirements, verify requirements traceability, analyze HWIL/ground/flight test telemetry, evaluate interoperability with sensors and networks, apply MBSE/SysML to validate architectures, and deliver technical recommendations and risk assessments to leadership.

Plan, design, execute, and oversee development and operational testing for major weapon programs. Create test planning documents, assess test methodologies and data, present test strategies to review boards, coordinate with program offices and contractors, and conduct pre/post-mission briefings. Provide technical oversight and predict test asset and range facility needs.

Develop black-box functional test coverage and methodologies for NVMe SSDs; debug and triage failures with firmware teams; reproduce problems, design and run experiments; analyze customer field issues and improve functional test coverage.

The candidate will define verification strategies, develop test benches, and ensure the functionality of AI accelerator modules, collaborating closely with architects and design engineers.

Develop and optimize healthcare integration solutions using various technologies, collaborate with clients for data exchange, and enhance IT infrastructure.

The Orion GN&C Engineer will develop and evaluate GN&C flight software, integrate and test algorithms, and ensure mission performance while working in a team environment supporting NASA.

Join the Genesis Development and Analysis Team to support NASA's projects through software development, performance analysis, and guidance algorithms integration.

Lead and support the design and integration of EVA spacesuit systems, guiding test campaigns, mentoring junior engineers, and ensuring compliance with NASA protocols.

Design, build, and optimize scalable Java-based microservices and RESTful APIs. Ensure performance, uptime, and engineering standards through design and code reviews, testing, and collaboration with product and support teams. Contribute to domain-driven service design and API consistency.

Lead design, development, and maintenance of scalable backend services for Payouts. Drive architecture, ensure performance and reliability, mentor engineers, enforce engineering best practices, and collaborate with product and support teams to deliver customer-facing REST APIs.

Lead RF architecture and technical direction for high‑frequency RF/microwave test equipment. Drive design, simulation, prototyping, V&V, compliance, and cross‑discipline alignment. Mentor engineers, manage technical risk, and ensure scalable, reusable RF subsystem designs from concept through product ramp.

The Fullstack Application Developer will design, build, and maintain a platform for marketing teams, focusing on both front-end and back-end development while mentoring junior developers.

As a Technology Lead - QA, you will design high-level artifacts, deliver quality code, lead testing validation, and support implementation activities in a collaborative environment.

The job involves designing and implementing solutions within the Cable/Media/Video domain, requiring strong technical skills and project leadership.

Conduct testing for console games by identifying bugs, documenting issues, and providing feedback to improve game quality. Work on specified shifts and complete assigned test cases.

The role involves optimizing mid- and backend compiler techniques for custom accelerator hardware, transforming MLIR-based languages, and implementing efficient compilation workflows for AI systems.