Software Engineer Jobs in Santa Clara, CA

Build and own production-grade data systems that transform clinical, lab, and operational data into trusted, analysis-ready datasets. Collaborate with scientists, clinicians, and operations to design data models, services, and workflows enforcing integrity, access control, and regulatory compliance. Lead long-lived systems, improve data quality, monitoring, testing, and mentor engineers while supporting incident response and cross-functional adoption.

Design, implement, and test distributed block and file storage services in C across Linux kernel, userspace, host, and DPU environments. Analyze production issues, resolve complex kernel and systems bugs, develop scalable storage solutions, and collaborate with networking teams, architects, and customers. The role involves defining software architecture for highly performant, scalable storage platforms and requires deep expertise in Linux, storage protocols, distributed systems, and operating-system internals.

Manage build systems, CI/CD pipelines, software installers, and cloud environments for digital surgery and robotics software. Develop and support Jenkins-based CI/CD pipelines, improve build and infrastructure support, create provisioning and deployment strategies, maintain AWS cloud infrastructure, and collaborate with engineering teams to meet software development requirements.

Lead the design and optimization of software for autonomous driving silicon, focusing on performance and collaboration across teams.

Build software for renewable energy campuses, including high-fidelity simulations, geospatial data pipelines, automated site and electrical design, and energy management systems. Develop real-time controls, SCADA and telemetry integrations, testing infrastructure, and safety systems for islanded solar and storage facilities. Collaborate with power, civil, and external engineering experts to convert domain knowledge into reliable software and accelerate utility-scale site design and deployment.

Design, implement, test, and maintain cross-platform core libraries for CrowdStrike’s security sensor across Windows, Linux, and macOS. Own work from technical design through production validation, lead design reviews, resolve fleet-scale incidents, improve testing and reliability, collaborate across engineering teams, and mentor junior engineers. The role requires strong low-level C and C++ systems experience, cross-platform expertise, sound technical judgment, and occasional travel.

Design and implement distributed data services and high-volume ETL pipelines for timeseries and telemetry data supporting flight test programs. Manage Kubernetes-native autoscaling services, build threshold-based alerting pipelines, and collaborate with avionics engineers and stakeholders to identify critical data features. Evaluate data ingestion, storage, and retrieval technologies to improve platform performance, reliability, scalability, and analytical capabilities.

Defines architecture and technical direction for production ADAS SoC software powering driver-facing HMI experiences. Builds a next-generation driver monitoring system spanning sensors, perception, inference, vehicle interfaces, diagnostics, and HMI. Leads multi-team design, implementation, integration, performance tuning, validation, release, and issue resolution while establishing quality standards and roadmaps. Mentors engineers and influences cross-functional stakeholders on system trade-offs, reliability, safety, security, and maintainability.

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, develop, and ship production automotive embedded software across MCU and SoC platforms for ADAS driver-facing experiences. Responsibilities include software architecture, real-time interfaces, C/C++ development, cross-domain debugging, integrated testing, vehicle validation, production launch, tooling improvements, and mentoring junior engineers. The role requires collaboration across systems, electrical, HMI, ADAS, platform, supplier, and vehicle integration teams while addressing safety, performance, reliability, and maintainability.

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 design and development of cloud-native full-stack and microservice systems for patient-facing and clinical data platforms. Provide technical leadership, drive cross-functional programs, improve engineering practices, and mentor engineers to deliver robust, scalable software.

Lead the architecture and operations of network services, optimizing performance and scalability for AI workloads while ensuring security and compliance.

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.

Technical lead responsible for architecting and implementing embedded, real-time software for a novel surgical robotic platform. Drive cross-functional requirements, prototype development, FPGA/PCB bring-up, inter-processor communications, hardware control (video/servo), risk analysis, regulatory-compliant design and verification, and mentor small technical teams from concept through early feasibility and regulatory clearance.

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.

Design, build, and operate Go-based distributed services for GPU data center infrastructure. Develop automation for hardware discovery, lifecycle management, health monitoring, remediation, BMC and firmware workflows, observability, and fleet-scale operations. Lead architecture and incident-driven reliability improvements while collaborating across infrastructure, hardware, and operations teams. Provide technical leadership through design reviews, mentorship, and strategic engineering guidance.

The Senior Software Engineer will design and build secure sandboxed runtime environments for Kubernetes, focusing on GPU workloads and ensuring performance and security in multi-tenant configurations.

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

Develops functional, scale, and performance test plans for networking products; executes test cases, reports and debugs defects, and automates regression testing. Collaborates with product marketing, software, and hardware teams to validate designs and integrate automated scripts. The role requires strong programming fundamentals, networking protocol expertise, Linux and virtualization knowledge, test automation experience, and proficiency with networking test equipment.

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