Top Remote Python Jobs in San Diego, CA

Perform finite element modeling and structural analyses (static, modal, fatigue, vibration) for UAV airframes; validate FEA with hand calculations and test data; develop test plans, define load cases and material properties, optimize structures for weight and strength, and document technical recommendations.

Lead and grow a team of autonomy engineers to stand up autonomy on novel platforms (space, maritime, rotorcraft), own delivery from design through fielding, write and integrate latency-sensitive autonomy code, coordinate with platform and cross-functional teams, support live tests and deployments, and evolve R&D efforts into longer-term programs.

Lead and grow a small autonomy engineering team to design, integrate, validate, and field autonomy software for launched effects. Own delivery, hiring, mentoring, technical direction, ICDs, pre-deployment validation, live test support, hardware/software debugging, and cross-team collaboration for multi-agent and air-gapped fleet deployments.

Perform FEA and hand calculations to evaluate and optimize UAV airframe structures. Conduct static, modal, fatigue, and vibration analyses, support structural test planning and data correlation, define loads and material properties, and produce structural analysis reports while collaborating with cross-functional engineering teams.

Own and maintain native C++ build systems for autonomous aircraft. Improve developer velocity by reducing build/test cycle time, integrate CI with HIL and simulation, implement monitoring and alerts, troubleshoot build/test failures, and collaborate with engineers to design and deploy DevEx/DevOps solutions.

Design, develop, and field high-performance Ground Control Station and C2 software using C++/Qt/QML and QGroundControl. Lead architecture and technical direction, mentor engineers, define APIs/ICDs, debug integration/latency issues, support field tests, implement post-mission debrief tools, and ensure interoperability with C2 standards.

Design, implement, and deploy safety-critical navigation and state estimation systems for aerospace platforms. Develop EKF and GNSS/INS integration, multi-sensor fusion for GPS-denied environments, FDIR and integrity monitoring, and V&V test plans. Support certification, requirements allocation, performance analysis, flight test evaluation, and provide technical leadership and mentoring.

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.

Perform finite element modeling and analyses (static, modal, fatigue, vibration) for UAV structures; validate results with hand calculations; support structural test planning, data analysis, load definition, and cross-functional design optimization to ensure lightweight, safe airframe performance.

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.

Support selection, characterization, calibration, and integration of multi-modal navigation and localization sensors (IMUs, GNSS, cameras). Develop and run test plans, calibration scripts, and data-processing tools. Work cross-functionally with EE/ME/SW on electrical interfaces, mounting, thermal/vibration, and software drivers. Debug hardware–firmware–software issues, document trade studies and integration requirements, and support production and occasional travel.

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.

Build and maintain agentic workflow components and the platform requirements knowledge base to ensure features ship across GitLabs deployment targets. Implement integration surfaces (issues, MRs, design docs, CI/CD), collaborate with platform teams to translate expertise into structured requirements, and write tests, documentation, and evaluations for agentic-workflow behavior and assessment accuracy.

Build and own a vendor schema registry and semantic validation pipeline that ingests OpenAPI/Swagger/Smithy specs, tracks schema evolution, detects semantic and breaking changes, and provides SDKs and developer tooling to safely map vendor APIs into a canonical knowledge graph used by downstream teams.

The role involves building core infrastructure for orchestrating intelligent agents, defining platform primitives, and ensuring systems scale and reliability. Collaboration with internal teams and end-to-end system ownership are essential.

Lead a product engineering team to own roadmaps, design scalable cloud-native systems, ship customer-facing features, ensure quality and reliability, hire and mentor engineers, and coordinate cross-functional delivery.

Drive post-silicon bring-up, characterization, qualification, and productization of advanced-node bitcoin mining ASICs from first silicon to mass production. Develop and maintain ATE test programs and screening strategies, perform PVT characterization and DOE, analyze wafer/package/ system data to improve correlation, yield, and system performance, and collaborate with foundry, OSAT, design, firmware, and manufacturing partners to implement corrective actions and production-ready processes.

Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through reviews.

Embed with customers to design, build, and deploy GC AI integrations into legal workflows. Develop production-grade API/webhook integrations, troubleshoot deployments, create reference implementations and documentation, and feed product insights back to Engineering to improve the platform. Travel to customer sites up to 25% as needed.

The Senior Infrastructure Engineer will design, build, and operate crucial cloud infrastructure and developer tools, focusing on observability, reliability, and performance in a high-velocity software environment.

Lead reliability, scalability, and operational excellence of large-scale database platforms across cloud and on-prem. Build automation-first database infrastructure (Kubernetes operators, IaC, GitOps), drive monitoring/SLOs, incident leadership, performance and cost optimization, and partner with application teams on safe schema/migration practices. Mentor engineers and evaluate AI-assisted workflows to improve productivity and reliability.

Design and develop backend services and APIs for identity resolution, optimize event-driven systems, and enhance system reliability. Mentor engineers and influence architectural decisions.

Drive adoption of AI-native engineering workflows, create technical content, engage with developers, and improve AI-assisted software development practices.

As a Lead Software Engineer, you'll design and develop GenAI platforms, integrate LLMs, mentor engineers, and solve technical challenges for scalable solutions.

As a Senior FPGA Verification Engineer, you will architect and develop test benches, verify code functionality, and prepare design review materials.