Software Engineer Jobs in San Jose, CA

Build the agent evaluation platform for multi-step enterprise AI agents. Responsibilities include orchestrating high-concurrency evaluations, developing OpenTelemetry-based tracing, creating stateful simulations of enterprise systems, managing datasets and reports, implementing validators and scoring, and establishing reliability, reproducibility, and SLOs. The role also develops calibrated evaluation signals that can optimize and train agent behavior.

Own end-to-end modem firmware architecture for LGA modules, lead modem software stack integration, define baseband, RF, power-management, and system-interface guidelines, and align firmware, hardware, RF, and platform teams. Serve as the technical partner contact, guide complex design and performance decisions, resolve system-level issues, influence modem roadmaps, and provide technical leadership for high-performance 5G platforms.

Design and implement end-to-end GPU performance verification infrastructure. Build scalable data pipelines to collect metrics from simulation, emulation, and silicon. Collaborate with GPU architects and hardware teams to automate verification workflows, provide performance insights and modeling, and accelerate GPU build iteration.

Develop simulation infrastructure for evaluating deep learning workloads across NVIDIA GPUs and compiler stacks. Optimize compiler kernel code generation, computational graphs, and datacenter-scale AI deployments using performance modeling. Collaborate with architecture, software, product, and research teams to assess future GPU features and influence silicon and system design. The role requires strong MLIR, C/C++, and Python expertise, along with experience in compiler optimization, architectural simulation, or related areas.

Build and maintain scalable financial data infrastructure, including ingestion, validation, normalization, and integrations. Develop systems that calculate portfolio performance metrics efficiently across high-volume datasets, improve reliability and observability, and support distributed processing. Create internal tools, dashboards, reusable schemas, asset data feeds, and self-service analytics capabilities. Collaborate cross-functionally to expand market-data coverage, support B2B integrations, and strengthen operational resilience.

Lead flight control law design and embedded autopilot software development for prototype eVTOL vehicles. Support end-to-end rapid prototyping, simulation, HIL and flight test, set discipline standards, perform feasibility assessments, produce technical documentation, and represent programs with stakeholders.

Design, develop, and maintain bioinformatics components and scale-out NGS analysis pipelines for Roche Sequencing products. Collaborate with experimental, research, and algorithm teams to translate requirements into production code, optimize algorithms (including neural nets) with GPU acceleration, and work across large codebases using Python and C/C++. Use cloud (GCP/AWS) and Linux environments to deliver high-quality sequencing software.

Design, build, and operate agentic AI and copilot systems for Roku TV: prototype, architect, and deploy end-to-end agents including model selection, RAG/context pipelines, tool-calling, orchestration, observability, testing, and continuous improvement to ensure reliable production performance.

As a Staff Software Engineer, you will lead technical strategies, drive architectural decisions, mentor engineers, and develop consumer banking solutions using various technologies.

Design and implement scalable inference systems for AI models, optimizing performance across various platforms while ensuring software quality and integration with hardware teams.

Seeking a Sr. Java Engineer with experience in Java, Node JS framework, and NoSQL (especially MongoDB) for delivering enterprise projects. Strong communication, team collaboration, and self-learning skills are essential.

Build scalable backend systems, develop LLM agents, and ensure fast adaptation in a dynamic environment at Sentra.

Build and operate internal AI platform services: chat/agent frontends, retrieval over code/docs, AI-native developer workflows, sandboxed execution, model routing, telemetry, and compliance-minded design for regulated aerospace environments.

As a Software Engineer II, you will design and develop backend services and frontend applications, collaborate with teams, and improve development processes.

Lead end-to-end engineering initiatives for customer-facing features in a fast-paced startup. Build and maintain backend and frontend systems, design and evolve GraphQL APIs, debug production issues, participate in on-call rotation, and collaborate cross-functionally with product, policy, and commercial teams to deliver high-quality, scalable software for battery asset operations and project simulation.

Lead end-to-end full-stack engineering initiatives for Project Simulation and Asset Operations. Build scalable frontend and backend systems, ensure code quality, collaborate cross-functionally, debug production issues, and participate in on-call rotation.

Design and develop software validation frameworks for SOC systems, improve software efficiency, and conduct debugging for complex system failures while collaborating cross-functionally.

Design and develop Multi-Physics System Analysis software, debug errors, implement features, and write tests.

Lead architecture and delivery of Dialpad's agentic AI platform: build scalable multi-agent orchestration, real-time conversational and voice reasoning, retrieval and memory systems, inference/fine-tuning pipelines, observability and safety frameworks, and mentor engineering teams while partnering cross-functionally to productionize autonomous workflow execution.

Own Picarro’s Android and iOS mobile experience for field-facing apps connected to physical instruments and cloud systems. Design offline-first applications, synchronization architecture, Bluetooth and sensor integrations, and reliable background data collection. Manage production performance, crash rates, sync failures, releases, monitoring, and root-cause fixes. Collaborate with backend engineers on field-ready APIs and mentor engineers on mobile architecture and platform best practices.

Lead architecture and implementation of AI-security products, define technical direction, drive cross-team initiatives, design secure scalable backend systems, and address systemic risks while remaining hands-on in coding, prototyping, and debugging.

Build and maintain an agentic platform that transforms high-stakes medical and legal casework into structured context. Work across the full stack: agent architectures, eval frameworks, data ingestion/indexing, and user-facing tooling. Ship workflows, design reliability-focused evals and guardrails, iterate with user feedback, and set patterns for AI-native development in a healthcare context.

Design and implement reliable, scalable full‑stack web tools (backend and frontend) to automate and optimize chip design and verification workflows. Build web applications in Go, TypeScript, and JavaScript, model hardware-level product definitions, research solutions to improve engineering efficiency, and support hundreds of global users.

Design, develop, and verify Tegra core boot firmware for safety- and security-critical platforms. Define and decompose functional/safety requirements, perform FMEA/DFA on bootloader features, validate on pre-silicon simulation platforms, support silicon bring-up and post-silicon issues, and collaborate with cross-functional teams to meet automotive and datacenter quality and verification standards.

Develop and maintain open-source GPU-accelerated inference software for LLMs. Enable disaggregated serving across vLLM, SGLang, and TensorRT-LLM for agentic inference (long-horizon reasoning, tool calling, multi-turn state). Optimize inference-state management, GPU memory and cache reuse, and distributed frontend performance, while prioritizing latency, throughput, and integration with upstream APIs and agent harnesses.