Top Software Engineer Jobs in San Diego, CA

Design, architect, and implement full-stack web applications and RESTful APIs; define data models and manage databases; build responsive React front-ends; create documentation; provide task estimates; participate in on-call rotation and ensure performance, scalability, and maintainability.

Develop scientific software for AI-native drug discovery, building data pipelines, APIs, and lab automation integrations while collaborating with scientists.

Design and develop software for automated laboratory workflows, build data pipelines, implement machine learning models, and integrate various systems to enhance biotherapeutics discovery.

Design, develop, and deliver enterprise automation and AI agent solutions using Microsoft Power Platform. Translate business requirements into scalable Power Automate and Power Apps workflows, implement exception handling, monitoring, and resiliency, and maintain production automations. Use Azure DevOps/Git for CI/CD, collaborate with stakeholders, and drive automation governance and process improvements.

The Sr. Vision Software Engineer will design, test, and integrate machine vision solutions, develop computer vision algorithms, and troubleshoot production issues while collaborating with engineering teams.

Perform unit and integration testing and test automation for software on host, develop and maintain test environments and documentation, integrate and troubleshoot software/hardware across networks, collaborate with developers and engineers to identify root causes, submit problem reports, and support the full software development lifecycle. On-site role requiring Top Secret clearance and SAP access.

Develop and deliver Java/JEE enterprise software in a SOA environment across the full SDLC. Work with JMS, web services, XML technologies, and collaborate with systems, hardware, and integration/test engineers. On-site role requiring Top Secret clearance and up to 25% travel.

The Software Engineer will design, develop, and maintain backend APIs, enhance performance, oversee the backend API landscape, and collaborate with teams to align architecture with product strategies, focusing on user experience.

Design, build, and ship full-stack SaaS features across frontend and backend. Solve moderately complex problems, work within microservices and relational databases, participate in code reviews, mentor junior engineers, and collaborate on cloud-deployed, production-grade services. Focus on quality, user experience, and learning new technologies; exposure to AI-powered features is a plus.

Vannevar is seeking a Senior Software Engineer to lead the deployment of AI-enabled software products in government environments, focusing on security and compliance. Responsibilities include roadmap ownership, technical design, mentorship, and documentation.

Design, develop, and maintain C++ software and Qt-based GUIs for instrument communication and hardware interaction. Build reliable components, write Google Test unit tests, use CMake and Git, debug and optimize applications, collaborate with firmware/hardware teams, conduct code reviews, and produce clear documentation while operating in an agile startup environment.

Full-stack engineer (React/TypeScript/Node.js) to build and run AWS cloud-native applications, implement infrastructure-as-code with Terraform, create automated tests, deliver secure performant code, integrate third-party vendors, operate in a DevOps/Agile environment, support production, document solutions, and mentor peers.

Build internal dashboards, data pipelines, integrations, and lightweight apps to automate workflows and improve visibility across operations, finance, HR, and programs. Rapidly prototype AI-assisted tools, connect systems via APIs/databases/spreadsheets, ensure data quality, and collaborate with non-technical stakeholders to deliver practical analytics solutions.

Develop and maintain real-time sensor software solutions for autonomous vehicles, integrating AI/ML algorithms for various sensor systems across multiple domains.

The Technical Lead will build software systems for AI-native drug discovery, design data pipelines, develop APIs, and collaborate with scientists to create efficient workflows and solutions.

Design and build automated test capabilities for V-BAT: define and automate system-level test cases, implement interfaces/drivers for simulation and hardware, prototype and harden test solutions, and support release and flight test activities working with GNC and Embedded teams.

Lead design and implementation of tactical autonomy behaviors for unmanned platforms. Develop, test, and deploy multi-agent coordination, motion/behavior planning, and survivability features across vehicles while owning end-to-end system lifecycle and collaborating with integration teams and end users.

Develop, integrate, and field autonomy software for unmanned platforms; lead a small technical team through design-to-deployment; author ICDs; perform hardware/software debugging, system bring-up, simulation testing, and mission support; mentor engineers and coordinate with internal teams and external integrators. Travel ~10-20%.

Lead systems engineering for Hivemind-based autonomy products: define and manage requirements, develop system architectures and trade studies, coordinate hardware/software interfaces, support integration/verification/validation and testing, and identify and mitigate technical risks across the system lifecycle.

Design and implement full‑stack, low‑latency web-based Ground Control Station and C2 systems (map-centric UIs, real-time telemetry, video streaming), lead architecture and APIs, mentor engineers, support field tests and mission deployments, and ensure interoperability with C2 standards.

Design, implement, and own tactical autonomy behaviors for unmanned platforms. Develop and test multi-agent coordination, motion and behavior planning, target engagement, and survivability features. Work across the software lifecycle, integrate with sensor, estimation, communications, and control systems, contribute to shared frameworks, and support platform integration and testing (travel up to 20%).

Integrate and deploy autonomy software onto unmanned aircraft, prepare flight-ready systems, support on-site flight tests, debug hardware/software issues, collect and analyze flight data, collaborate across autonomy, GNC, and test teams, and support certification, compliance, and process improvements.

Lead design and prototyping of generative AI experiences for autonomy development; drive UX for Hivemind products; perform user research, collaborate with CTO and product leads, and deliver reference implementations and integrations across full-stack web and edge systems.

Develop, integrate, and field autonomy software on unmanned platforms; own end-to-end integration from simulation to live tests; debug embedded/latency-sensitive systems; support on-site flight/sea/space tests; ensure C2 interoperability and improve deployment/test tooling and processes.

Lead design, integration, and fielding of autonomy software on unmanned platforms. Develop mission behaviors, platform control, multi-agent coordination, and deployment pipelines; own validation from simulation to live tests. Drive technical strategy, cross-team architecture, standards compliance, mentor senior engineers, and support on-site test/mission operations and hardware/software debugging.