Top Software Engineer Jobs

Develop and maintain OSINT mission applications integrating front-end and back-end systems using Agile. Perform coding, testing, debugging, and secure application deployment. Collaborate with government developers to meet performance and security standards and support intelligence-focused capabilities.

Design and implement high-performance GPU-accelerated software using C++ and CUDA. Develop CUDA kernels for signal and image processing, profile and optimize GPU applications, integrate with hardware (FPGAs, SoCs), collaborate with cross-functional teams, and apply DevSecOps/CI-CD practices to deliver production-quality defense systems.

Design, develop, and evaluate complex software architectures and applications (C++, Python, MATLAB) for real-time, embedded, and defense systems. Collaborate with cross-functional teams, interface with hardware (FPGAs, GPUs, SoCs) using protocols (UART, I2C, SPI, CAN), apply DevSecOps/CI-CD, and use containerization and cloud-native technologies. Develop software for RF/Radar/EO-IR/EW/SDR systems and support agile development, integration, and testing to deliver secure, high-quality solutions.

Architect and optimize distributed encoding and decoding pipelines across CPU and GPU platforms. Develop high-throughput, resource-efficient data processing systems, applying systems programming, parallel computing, concurrency, memory management, and hardware optimization. Collaborate with software and bioinformatics teams to integrate these pipelines into AtlasBase’s molecular computing and data storage ecosystem.

Develop and maintain software and AI applications while collaborating with engineers, staff, and leadership. Build tools for analyzing large-scale data, troubleshoot and test solutions, optimize software performance, and create technical documentation and user support guides.

Develop highly reliable, mission-critical software applications supporting SpaceX launch vehicle production, flight operations, and Starlink services. Responsibilities include designing and building applications, prototyping solutions, owning software product development, understanding user needs, and contributing to architecture, design, and code reviews. The role requires onsite work and may involve extended hours or weekends based on launch schedules.

Develop highly reliable, mission-critical software used across SpaceX for launch vehicle production, flight operations, and Starlink growth. Responsibilities include creating applications, prototyping architectures, owning software and product development, understanding user problems, and participating in design and code reviews. The role requires full-stack development and may involve extended hours or weekends based on launch schedules. This is an onsite position.

Develop highly reliable software used across SpaceX for launch vehicle production, flight operations, and Starlink growth. Responsibilities include designing and building applications, prototyping solutions, owning software and product development, investigating user problems, and contributing to architecture, design, and code reviews. The role requires onsite work and may involve extended hours or weekends based on launch schedules.

Participate in a Pega bootcamp, then design, develop, customize, configure, and integrate Pega applications for government clients. Troubleshoot application issues, follow coding standards, and collaborate with business stakeholders. The role is primarily onsite in downtown Washington, DC, four to five days per week, and requires U.S. citizenship and a Top Secret security clearance.

Own customer-facing product features end to end, from problem definition and design through implementation, launch, measurement, and maintenance. Build reliable full-stack systems across video editing, growth and monetization, media management, or AI products. Partner with Product and Design, run experiments, analyze metrics, improve engineering practices, and provide architectural guidance, reviews, and mentoring.

Develop distributed computing algorithms, performance metrics, and analysis tools for Zoox’s Collision Avoidance System. Analyze petabytes of urban driving data, evaluate system performance, and collaborate with CAS Perception, Planning, Systems Design, Mission Assurance, and QA engineers to define autonomous-driving validation metrics and plans.

Build and ship full-stack product experiences that leverage new AI model capabilities. Identify promising technical and product opportunities, rapidly prototype and validate ideas, collaborate with research, applied, product, design, data science, and engineering teams, and use user feedback and experimentation to determine which concepts should scale into larger products.

Develop software products, features, and tools supporting autonomy development workflows. Work across full-stack, infrastructure, robotics, and graphics systems; collaborate with domain experts and users; solve complex engineering problems; take ownership of technical and product decisions; and build expertise in autonomy technologies. Preferred experience includes frontend and API development, containerization, cluster orchestration, simulation, physical modeling, robotics middleware, and Python, C++, or JavaScript.

Design, develop, test, deploy, and maintain enterprise applications and services in a Windows environment. Troubleshoot production issues, perform code reviews, document technical designs, work with customers to clarify requirements, participate in planning and releases, and support legacy and modernized systems.

Develop and maintain Ray’s C++ backend for scalable, reliable distributed computing. Responsibilities include optimizing large-scale workloads, improving fault tolerance, developing open-source software, implementing architectural improvements, enhancing testing infrastructure, leading cross-team projects, mentoring engineers, and communicating technical work through talks, tutorials, and blog posts.

Design, implement, test, debug, and document back-end software for combined edge and cloud applications. Develop C++ and Go systems, cloud services, installers, persistence, OTA processing, and integration tests. Diagnose issues across cloud, operating system, database, and network boundaries. Maintain secure protocols, structured logging, bounded inputs, credential protections, protobuf contracts, migrations, build configurations, runbooks, and test evidence. Participate in code reviews and explain AI-assisted code.

Build OpenAI’s native learning experiences from 0 to 1, owning technical vision and end-to-end full-stack delivery. Develop frontend and backend systems for learner state, progress, content integration, practice, feedback, telemetry, evaluation, reliability, safety, and accessibility. Partner with education, design, research, data, content, and customer-facing teams to define requirements, run experiments, measure learning outcomes, and iterate toward high-quality enterprise AI learning products.

Develop and deliver full-stack software features for Verily’s precision-health products. The role involves designing technical solutions, comparing implementation options, collaborating with development teams, and building personalized, data-driven experiences. Engineers use GitHub, Google Cloud, Go, React, Docker, and Terraform. Responsibilities may include scalable data processing pipelines and healthcare data integrations using technologies such as BigQuery and HL7 FHIR.

Develop and maintain software components for ML-assisted media content inspection pipelines supporting automated asset validation, enrichment, and analysis. Integrate AI and machine-learning services, work with computer vision and LLM workflows, support cloud-based systems, and assist with production monitoring and troubleshooting. The role requires collaboration, testing, documentation, and continuous development of software, cloud, and introductory machine-learning skills.

Lead development of scalable content inspection pipelines using computer vision and vision language models to analyze video and image assets. Design, implement, test, deploy, and support distributed systems that extract temporal metadata, enable validation and enrichment workflows, and improve media discovery. Collaborate with platform and product teams, guide architecture, participate in on-call support, resolve production issues, and mentor engineers while promoting quality engineering practices.

Maintain and extend production Python applications, build internal tools and reports, and own the Power BI reporting estate. Support SQL Server reporting databases, desktop estimating and pricing tools, and scheduled system automations. Gather requirements from business departments, follow version control and code review standards, document systems, and gradually assume independent ownership under senior technical guidance.

Develop and maintain full-stack command-and-control software for rugged UxS charging infrastructure: build responsive front-end components, backend services/APIs, telemetry pipelines, integrate with tactical C2 systems (ATAK, Lattice, CoT), debug networking issues, collaborate with autonomy and systems teams, and support V&V, testing, and documentation per federal defense standards.

Support, maintain, troubleshoot, and develop enterprise software products in an Agile environment. Diagnose production issues, perform engineering-level testing, tune SQL performance, document solutions, estimate feature work, assess risks, and collaborate with product managers, product owners, engineering leaders, and stakeholders. The role requires a week of after-hours support availability every three to four months.

Build core multimodal backend systems for robotics and Physical AI, including real-time WebRTC video pipelines, hardware-accelerated codecs, petabyte-scale ingestion and storage, LiDAR and telemetry processing, sensor synchronization, and high-performance React and TypeScript interfaces. Engineers may work across infrastructure, spatial data, video, frontend, and AI-native product workflows while independently solving complex technical challenges.

Build distributed data systems for petabytes of video, lidar, and telemetry data. Responsibilities include developing multimodal data lake storage, query engines with indexing and vector search, and high-throughput dataloading pipelines delivering data to GPUs. The role involves optimizing distributed storage and compute, query planning, streaming computation, zero-copy data flow, and real-time indexing for robotics and Physical AI applications.