Software Engineer Jobs in San Jose, CA

Design, configure, and develop SAP MDM/MDG and S/4 HANA solutions. Gather business and system requirements, create specifications, implement customizations, automate workflows, and perform testing. Troubleshoot production issues, lead small subsystems/projects, collaborate with stakeholders, and support large-scale SAP MDM and S/4 HANA migration programs.

Lead development of the application and cognitive layer for humanoid robots: implement behavior trees and intent-to-action orchestration, build voice applications and multi-modal fusion, integrate robotics capabilities and edge/cloud AI services, and ensure production readiness with CI/CD, telemetry, and monitoring.

Lead end-to-end delivery of NVIDIA DGX systems from firmware through AI stack to customer deployment. Own firmware (BMC, SBIOS/BIOS), system integration, validation strategy, platform bring-up, vendor management, GA releases, and cross-org alignment. Build and lead engineering teams, ensure production-ready releases, and drive architecture and roadmap for next-generation platforms.

Design, develop, and optimize AI-powered applications, LLM solutions, agentic workflows, retrieval systems, data pipelines, and cloud-native services. Build evaluation and monitoring frameworks, improve model and system performance, and develop scalable APIs. Collaborate with engineers, product teams, and domain experts to deliver intelligent search, knowledge discovery, and engineering workflow solutions.

Design, implement, and optimize AI algorithms and software for computer vision, NLP, recommendation systems and ASR. Develop, test, and maintain models and production-quality code, participate in code reviews and CI/CD workflows, and document algorithms and technical processes.

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.

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.

Build scalable, resilient agentic AI and LLM/ML solutions. Translate requirements into high-level and detailed architectures. Implement solutions using Python/C++ and ML frameworks, applying AI/ML fundamentals, data structures, algorithms, and distributed systems.

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.

Develop core backend components for a blockchain network, focusing on networking, reliability, scalability, and high-quality software practices.

Design and build RL post-training infrastructure for AI, optimizing training-inference-rollout on distributed systems while ensuring fault tolerance and scalability.

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, 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.

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 and develop accelerated and distributed implementations of Python APIs for numerical computing, optimizing performance on various architectures and contributing to technical roadmaps.

The role involves reproducing reported issues, collaborating on root cause analyses, validating product quality, developing scripts and AI-driven tools in a virtualization context.

Develop and troubleshoot multi-threaded, distributed physical synthesis software for Cadence’s Innovus Implementation System. Collaborate with global R&D teams, product engineers, technical sales, and customers to deliver engineering solutions and workarounds. Apply C/C++ development, data structures, algorithms, Linux, physical synthesis, timing analysis, and scripting expertise to support integrated circuit physical design workflows.

Develop and optimize Cadence Innovus place-and-route software focused on chip timing, power consumption, and timing closure. Design multithreaded and distributed optimization solutions using strong software engineering, data structures, and algorithmic skills. Collaborate with customers and contribute to physical synthesis, timing analysis, and IC physical design tools. Work primarily in C/C++ on Linux, with Tcl and scripting experience preferred.

Lead AI software resiliency development, implementing features for reliability and fault tolerance in large-scale AI supercomputers, requiring hands-on coding and collaboration.

Develop and deliver scalable, distributed SaaS features for a clinical-trial software platform. Responsibilities include architecture and hands-on development, engineering best practices, technology innovation, cross-service and AI-powered feature integration, real-time systems, customer-focused product delivery, and mentoring software engineers. The role collaborates closely with a fast-moving team and contributes to the product roadmap.

Build and maintain software spanning embedded edge devices and scalable AWS cloud services. Develop Python backend systems, support Raspberry Pi environments, integrate hardware with cloud services, monitor performance, troubleshoot production issues, and contribute across infrastructure and hardware testing. The role values strong debugging, clean code, and adaptability across systems.

Seeking a Senior Principal C++ Software Engineer to enhance FPGA prototyping products, focusing on timing algorithms and performance improvements.

Develop partitioning and optimization algorithms and new features for the Protium prototyping platform. Collaborate with geographically distributed teams on implementation specs, and work with technical support and customers to troubleshoot implementation and usage issues.

Design and develop scalable, high-performance data and API infrastructure for real-time processing. Mentor engineers and collaborate with teams to enhance AI model evaluations.

The Full-Stack Product Engineer will design and develop AI-focused products, manage the feature lifecycle, and advocate for process improvements.