Software Engineer Jobs in Sunnyvale, CA

Design, implement, and evaluate perception algorithms and 4D world representations for autonomous vehicles. Train and deploy ML and computer vision models from data collection to production, test on real vehicles, and collaborate with data, behavior, and research teams to deliver production-ready autonomy software.

Design, implement, and tune locomotion, whole-body control, and manipulation software for bi-dexterous robots. Integrate subsystems across actuators, sensors, and motor controllers, develop real-time C++ control, validate in simulation, debug hardware failures, and contribute to fleet tooling and CI/CD pipelines.

Design, build, and maintain scalable, low-latency backend services and cloud infrastructure for remote assistance. Implement APIs, data pipelines, protobuf/gRPC communication, NoSQL persistence (Redis), real-time data streaming, and resilience across AWS regions. Collaborate with onboard and frontend teams to ensure secure, reliable end-to-end data flow and optimize serialization and transmission.

Develop and maintain full-stack applications supporting foundation-model research. Design client- and server-side architecture, ensure responsiveness, security, and performance, collaborate with researchers/ML engineers, troubleshoot and document software, and contribute to HPC and deep-learning research outputs and publications.

Entry-level software engineer working on data storage and management. Contribute across the SDLC to improve data efficiency, performance, scalability, and replication. Collaborate with senior engineers, write high-quality C++ code, and support automated testing in an in-office Santa Clara environment.

Architect and deliver high-performance C/C++ networking software for enterprise storage platforms. Implement Layer 2/3 features, integrate with ASICs and switch SDKs, enable non-disruptive upgrades, customize SONiC, and lead cross-functional hardware-software efforts while mentoring engineers.

Design, develop, and debug high-performance system software (C/C++, Python) for storage platforms. Own control plane features, driver development, hardware-software integration, firmware management, and L2/L3 networking. Mentor engineers, define hardware interfaces, and ensure high availability for customer deployments. On-site in Santa Clara, CA.

Lead technical direction and implementation for build systems, OS packaging, and release infrastructure. Improve CI/CD, artifact publishing, reproducibility, and build observability. Collaborate with product, release, test, and infrastructure teams, mentor engineers, remove bottlenecks in build throughput and packaging correctness, and contribute code for high-impact technical work.

Design and implement high-performance, highly reliable distributed storage systems. Own features end-to-end from design through deployment, solve challenges in distributed consensus, resource management, and data integrity, and collaborate on architecture and code quality to deliver scalable, production-grade platform features.

Develop and optimize Linux kernel features and device drivers for enterprise storage arrays. Maintain and patch kernel code, diagnose hardware-software boundary issues, optimize performance (NUMA, interrupts, threading, CPU instruction sets), lead architecture and development from concept to release, mentor peers, participate in code reviews, and collaborate with partners and vendors.

Design and implement high-performance, highly reliable storage algorithms and systems for hyperscale cloud workloads. Own end-to-end product delivery, solve complex problems, collaborate with peers and customers, and apply deep knowledge of flash/SSD technologies, distributed storage platforms, networking, and data center architectures. Work primarily on-site in Santa Clara.

Design and build production-grade agentic AI solutions using LLMs, multi-agent workflows, and RAG pipelines. Implement prompt engineering, guardrails, model evaluation, and secure Python-based REST APIs. Deploy and operate services on AWS with Docker/Kubernetes, ensure observability, security, and integrate AI systems with enterprise platforms.

The role involves designing and building automated compliance pipelines, implementing policy-as-code, and integrating security scanning into CI/CD processes to ensure compliance and secure AI infrastructure.

As a Senior Software Engineer, you'll build and manage the runtime infrastructure for Moveworks' AI agents, focusing on distributed systems, event-driven architectures, and observability. You'll handle real-time responses for enterprise users, ensure system correctness and low latency, and deal with innovative engineering challenges.

The role involves building systems for route planning, optimization, and real-time tracking for fleets, emphasizing scalable backend services and integration with dispatch tools.

Build and own distributed runtime infrastructure for agentic AI: session orchestration, lease-based distributed session management, event-driven pipelines, structured concurrency, observability, caching/state layers, and real-time streaming to support multi-step agent workflows at scale.

Lead frontend and backend development for AI projects, establishing architecture standards, mentoring engineers, and integrating AI capabilities into applications.

As a Senior Fullstack Engineer, you'll lead the development of AI-powered web applications, ensuring scalability and modular design while collaborating across teams to enhance user experience.

Build and own runtime infrastructure for agentic AI: orchestrate long-running agent sessions, manage distributed session leasing and checkpointing, implement event-driven pipelines, structured concurrency with asyncio, observability via OpenTelemetry and tracing, and design caching/state layers (Redis, DynamoDB) for low-latency, high-scale production workloads.

The role involves designing and maintaining large-scale observability systems, supporting service deployment, monitoring system health, and responding to incidents, while fostering a culture of collaboration and continuous improvement.

Design, build, and modernize full‑stack web applications and microservices for a real‑time event-driven data and visualization platform. Develop and optimize streaming data pipelines (Kafka, Flink, Spark), integrate observability, caching (Redis), and AI agents, and collaborate with hardware verification teams for scalable, low-latency solutions.

Lead development of Python-based tools and automation frameworks for optical transceiver validation. Automate test execution, instrument control, data collection/analysis, CMIS and EEPROM verification, and support qualification of PAM4, LPO/LRO, and coherent optics for 1.6T and 12.8T platforms.

Design and build scalable automation, testing, and infrastructure for NVIDIA deep learning libraries across platforms. Develop full-stack tools from UIs to cluster and database layers, configure CI/CD, and advance industry-standard tooling to improve build, test, integration, and release workflows.

Designs, implements, and validates autonomous driving software (perception, localization, planning/prediction, or control). Develops ML models and data pipelines, runs simulation and vehicle tests, collaborates with global partners, and optimizes systems for embedded/automotive deployment and safety compliance.

The Senior iOS Engineer will lead engineering decisions, actively develop the Speechify iOS app, shape the product roadmap, and enhance the app architecture for a growing user base.