Top Software Engineer Jobs

Designs, develops, tests, integrates, and leads delivery of next-generation distributed storage platforms. Collaborates with firmware, hardware, and Storage OS teams; oversees internal and outsourced development partners; reviews architectures and designs; drives technology integration; ensures testing quality; and mentors less-experienced engineers. Requires low-level C and Rust programming, embedded systems expertise, and knowledge of SAS and NVMe protocols.

Develop and extend software for integrated HPC-quantum systems including compilation, execution, resource estimation, and simulation. Build adapters, prototypes, tests, CI, and demos; document results and contribute to open standards and research dissemination.

Designs, develops, debugs, and maintains embedded software in C on Linux-based systems, with Python used for tooling and testing. Owns feature areas end to end, including architecture, implementation, testing, and delivery. Leads technical execution, code reviews, integration debugging, cross-functional collaboration, and mentoring while serving as a hands-on technical lead. Networking and switch-platform experience are preferred.

Own TAR’s software strategy, architecture, and technical roadmap across platform, data, cloud infrastructure, and internal and customer-facing systems. Build and lead the software engineering organization, establish engineering, security, and reliability standards, and drive the full software lifecycle. Partner with autonomy and robotics teams on telemetry and data interfaces while representing software strategy to executives, customers, partners, and investors.

Lead design and development of user-facing web dashboards and applications for mission-critical platforms. Build scalable frontend features, integrate backend APIs and complex data workflows, develop reusable component libraries, and collaborate with backend, DevOps, machine learning, product, and business teams. Participate in testing and releases while providing technical leadership and mentoring in frontend development.

Build and improve reliability tooling, automation, observability, and incident-management processes for autonomous vehicle software. Diagnose complex production issues across Linux, systems, logs, metrics, traces, and vehicle data; develop solutions that accelerate detection, triage, and recovery. Collaborate with software, field engineering, and operations teams while supporting safety-operator tools and partner vehicle programs. The role requires production coding and hands-on systems debugging in a hybrid Sunnyvale environment.

Build and scale the platform powering Wayve’s data flywheel and foundation-model stack. Responsibilities include developing large-scale data curation, enrichment, evaluation, training, and serving infrastructure; implementing distributed processing, vector search, lakehouse, dataset versioning, and annotation systems; and transforming manual workflows into reliable self-service products. The role requires production ownership, observability, testing, on-call support, and close collaboration with Applied Scientists and ML Engineers.

Senior front-office software engineer supporting Agency trading systems. Provide product support for time-sensitive trading platforms, design and improve complex backend and data systems, triage production issues, work directly with traders and product leads, and develop using languages like Java, q/kdb, Scala, C++, or Python while leveraging databases, distributed systems, and DevOps practices.

Leads development of equity derivatives pricing and execution platforms. Designs resilient, fault-tolerant applications, partners with traders, sales, strats, and quantitative teams, gathers requirements, shapes technology strategy, and delivers business-critical projects from concept through implementation.

Design and implement backend features in Go, build data pipelines and REST APIs, work with PostgreSQL and AWS, contribute to scalable system design, and optionally develop React.js user-facing features while collaborating in a fast-paced AI-focused startup.

Senior full‑stack engineer responsible for architecting, testing, and shipping end-to-end web applications. Refactor and optimize code, collaborate with product and data engineering teams to serve large-scale financial reporting and data-visualization workloads.

Develop and maintain high-quality web applications using Laravel and React or related frontend technologies. Responsibilities include building RESTful APIs, using Eloquent ORM and Laravel authentication, writing automated tests, collaborating with clients and project teams, estimating work, taking ownership of deliverables, and maintaining close attention to detail in a remote consulting environment.

Design, architect, test, and deliver end-to-end full-stack applications for financial reporting and data visualization. Improve and refactor systems using Agile practices. Build backend services with Python/Flask/SQLAlchemy/Celery and frontend SPAs with React and TypeScript. Collaborate with product managers and data engineering to safely extract, parse, and serve large-scale private asset analytics.

Provide technical support and troubleshooting for customers using the company's bionic products and public API. Develop and maintain ROS and non-ROS example programs and tutorials, collaborate with engineering and sales, conduct demos and training, document support processes, and stay current with industry trends to improve product integration and performance.

Set technical direction for Elastic Cloud Serverless control-plane initiatives, designing distributed systems that orchestrate projects across AWS, Google Cloud, and Azure. Lead multi-quarter, cross-team delivery; write and review Go code; improve reliability, security, and cost efficiency; investigate incidents; participate in on-call; mentor engineers; and advise product and engineering leaders on technical trade-offs and roadmap decisions.

Designs and develops data engineering services supporting machine learning and agentic initiatives. Responsibilities include data ingestion, governance, derivation, discoverability, retrieval, and serving using distributed systems and cloud infrastructure. The role involves building scalable production services, CI/CD pipelines, monitoring, testing, deployment, performance optimization, and on-call production support. Collaboration, clean object-oriented code, and operational ownership are emphasized.