Software Engineer Jobs in Santa Clara, CA

Design and implement AI-native frameworks, optimize performance for deep learning models, and ensure high-quality software development using modern C++ and AI tools.

Develop software solutions for reactor design and analysis, optimize data storage, and build tools for engineers at Oklo, a nuclear startup.

The role involves developing the Insights platform, focusing on data ingestion, query infrastructure, analytics, and data governance for physical AI applications.

Develop core middleware components and services within Applied's software-defined vehicle platform, focusing on C++, multi-threading, and advanced vehicle functions.

As an Android Platform Engineer, you will develop Android middleware systems and collaborate across teams to drive vehicle intelligence and software delivery.

This role involves designing and exporting AI frameworks, enhancing product capabilities, collaborating with teams, and directly engaging with customers.

Design and implement motion planning and control modules for autonomous vehicles, ensuring accurate navigation and evaluating vehicle dynamics. Utilize research to create optimal control solutions.

As a Senior Staff Software Engineer, you will develop and maintain AI deployment software, optimizing hardware-software co-design, and work closely with various experts to enhance infrastructure.

You will port models to new architectures, optimize runtime and communication layers, and develop performance profiling tools for inference operations.

Build critical infrastructure and custom applications, collaborate cross-functionally, and address operational challenges with a strong focus on delivering production-level code rapidly.

Designs, develops, and troubleshoots software for large-scale distributed systems, gathers requirements, mentors staff, and leads projects.

Build and test Marvis Minis across embedded firmware and cloud services. Develop Minis features, author network/application validation tests, debug cross-layer issues spanning AP firmware to cloud data pipelines, extend platform to additional devices, and maintain cloud processing components (Storm, Airflow, Kafka, Redis, Elasticsearch). Collaborate with firmware, data science, QA, and operations and participate in production rollouts and incident response.

Design and build omnichannel advertising systems, integrate team capabilities, mentor engineers, and handle end-to-end project ownership.

Design and implement high-performance, scalable storage systems and client libraries for AI workloads. Build data loading, checkpointing, caching, POSIX-style and object-store integrations, observability and telemetry, and validate performance with platform, SRE, and AI teams using modern engineering practices.

As an Applied R&D Engineer, you will develop backend application software in a Kubernetes environment, focusing on streaming APIs, system design, and code quality.

Develop and deliver CUDA driver features across pre-silicon simulation, silicon bring-up, and production software. Collaborate with hardware and software teams to design, implement, test, and stabilize GPU compute and graphics functionality across multiple operating systems.

Develop and maintain cloud-native solutions, focusing on CPQ and Order-to-Cash, while collaborating with cross-functional teams to deliver high-quality software solutions.

Lead performance, scalability, and reliability efforts across the platform. Define benchmarks and SLAs; run load, stress, and scalability tests; optimize services, databases, and infrastructure; build observability; lead RCA and long-term improvements; mentor engineers and influence scalable architecture.

The Senior Embedded Security Engineer will enhance the security of the flight software for space vehicles, ensuring high standards for safety and secure coding practices throughout the development lifecycle.

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

Design, implement, and scale core backend platform services, including distributed systems, event streaming, workflow orchestration, authz/authn frameworks, and high-throughput data platforms. Collaborate with Product, Security, and Infrastructure teams to maintain reliability, security, and scalability standards and enable product teams to build on a resilient backend foundation.

As a Software Engineer, you will design, implement, and optimize software solutions, collaborate with teams, and support various stages of development while shaping company culture.

Design behavioral specs, harnesses, and validation systems so AI agents implement reliable full-stack features. Build CI gates, structural tests, linting, knowledge bases, and end-to-end verification. Diagnose failures across spec, harness, and agent layers. Architect and operate production systems across cloud and on-prem environments for regulated energy deployments, prioritizing reliability, observability, and graceful degradation.

Design and build machine-learning-driven robotic systems that operate in the real world, support portfolio company growth, influence product and technical direction, and advance company and career outcomes.

Develop and automate configuration for distributed clusters, create monitoring tools, manage cloud operations, and ensure system reliability for Cerebras AI supercomputers.