Software Engineer Jobs in Santa Clara, CA

As an AI/ML Engineer, develop and optimize analytics frameworks to enhance autonomous vehicle development, focusing on automation tools and collaboration with engineering teams.

Design, build, and scale the Veza Access Graph backend: develop graph features, improve performance, reliability, and APIs, collaborate cross-functionally, and implement monitoring, logging, and compliance capabilities for identity and access management at scale.

Design, build, and operate production-grade agentic AI systems that reason over enterprise data, execute workflows, and run safely at scale. Focus areas include multi-agent orchestration, retrieval-grounded reasoning (RAG), model integration, observability, governance, and technical leadership to ship reliable, low-latency autonomous agents in production.

Build and operate ingestion, reconciliation, and reporting systems that reconcile card-network and partner settlement files against internal transactions. Deliver end-to-end features for traceability, accounting journals, tax and regulatory reporting, and compliance tooling while ensuring reliability, scalability, and data privacy.

Build and operate ingestion and reconciliation pipelines that match card-network and partner reports against internal transactions. Develop reporting products, produce standardized journals for accounting, support tax and regulatory filing systems, handle sensitive PII for compliance, debug production issues, and collaborate with finance, product, and data teams to automate and scale reconciliation and reporting.

Develop and enhance the HIL Platform for AV testing, ensuring high-quality software delivery through collaboration, requirements generation, and automated testing.

The Software Engineer will enhance Lending products for Cash App, focusing on building complex systems, APIs, and collaborating with multiple teams to support economic empowerment through accessible credit.

Design, build, operate, and own scalable backend services and APIs for internal and customer-facing applications. Improve performance, observability, security, and reliability; lead architecture and API standards; troubleshoot production issues; support CI/CD and automation; mentor engineers and drive backend best practices across teams.

Design, develop, and maintain software systems for autonomous driving evaluation workflows. Collaborate across teams, improve infrastructure, and mentor engineers.

Develop and implement validation methods, tools, and production code to analyze autonomous vehicle behavior using simulation and test data. Build scalable testing products, generate data-driven insights for AI and systems engineers, and establish validation best practices across teams.

Build and maintain scalable, reliable ML data platform systems to support dataset generation, model training, analytics, monitoring, and large-scale inference. Collaborate with ML, software, and infrastructure engineers to design cost-efficient data lake and training infrastructure using vendor and open-source tools to enable next-generation ML models.

The Software Engineer will develop and manage data platforms for CoreWeave, focusing on performance, security, and scalability while facilitating data access and compliance with regulations.

As a Software Engineer on the Observability team, you will develop and maintain scalable systems for telemetry data processing, enhance monitoring, collaborate across teams, and engage in on-call rotations.

Develop and maintain CrowdStrike's macOS sensor using C/C++ and Swift. Design and deliver core endpoint features across OS subsystems (file system, memory, process, networking), optimize for concurrency, performance, and reliability, own features end-to-end, collaborate with distributed teams, and troubleshoot customer-reported issues.

As a Distinguished Engineer in Cybersecurity at Capital One, you will lead cloud banking innovations, mentor engineers, and architect secure identity management solutions.

Join the Inference team to implement features and improvements for model serving on a GPU platform, focusing on performance and reliability.

The Software Engineer II will design and implement features for the Developer Experience platform, focusing on CI tools, test systems, and integrations. Responsibilities include end-to-end ownership of projects, code reviews, and onboarding new team members.

Design and implement automated pipelines, metrics, and tools to validate autonomous vehicle behavior at scale using simulation and on-road data. Leverage LLMs and agentic workflows, ensure quality through monitoring and automated checks, and collaborate with stakeholders to productionize validation processes.

As a Distinguished Software Engineer, you will design and build large-scale distributed systems, optimize machine learning platforms, and lead technical initiatives while mentoring talent.

This role involves ensuring the quality of autonomous vehicle simulation platforms through coding, developing metrics, and automated regression monitoring. Responsibilities include maintaining simulation systems, debugging validation measures, and collaborating with cross-functional teams.

Looking for a Software Engineer to build financial products and tooling for Cash App's Lending team, ensuring quality and compliance while collaborating across domains.

The Senior Software Engineer will design and support Kubernetes infrastructure, develop applications in Go, and enhance platform reliability, performance, and observability in CoreWeave's AI-focused environment.

The role involves designing scalable solutions for testing infrastructure, maintaining backend services, and automating validation processes involving Kubernetes and hardware performance.

Lead design and implementation of high-performance, scalable integrations that ingest identity data from cloud and SaaS providers. Drive architecture and best practices, mentor backend engineers, partner with product and customer teams, and apply AI/ML models to streamline connector development and data modeling for Veza's Access Graph platform.

Architect and build AI-native, large-scale distributed systems for ITSM/ITOM products. Lead technical strategy, prototype and validate architectures, drive evidence-based experiments, establish patterns and best practices, mentor senior engineers, and collaborate across teams to deliver reliable, observable, and cost-effective agentic automation and operational intelligence.