Top Tech Jobs & Startup Jobs

Lead design and implementation of scalable ML tooling and full-stack features for Flyte. Architect systems, write high-quality front-end and back-end code, craft APIs, integrate ML frameworks and data processing, participate in design/code reviews, and drive cross-team technical decisions to productionize ML workflows.

Shape and evaluate next-generation high-performance RISC-V CPUs using performance modeling and simulation. Build and run architectural models (Gem5/SST/SimpleScalar), analyze pipelines, caches, branch prediction, and memory hierarchies, implement modeling and analysis tools in C++/Python, and collaborate with CPU architects to optimize AI/HPC workload performance. Hybrid role based in Santa Clara or Austin.

Design, program, and commission PLC-based control systems and machine-vision inspection for automated manufacturing. Develop HMI/SCADA, integrate robotics, servo motion, and sensors, ensure NEC/OSHA and machine-safety compliance, troubleshoot high-speed inspection systems, manage projects from concept through commissioning, and collaborate with IT and operations for MES/traceability.

Lead design and implementation of scalable supply chain, procurement, inventory, asset, and financial processes. Translate requirements into system solutions (NetSuite, Coupa, PLM, Asset Management), drive UAT, deployment, training, and change management. Improve procurement workflows, master data governance (Item Master, BOM), reporting, and operational controls while facilitating cross-functional alignment and continuous process improvement.

Design, develop, and maintain high-performance distributed storage software and protocol APIs (file, block, object). Build scalable, resilient storage services, integrate with hardware (NVMe, GPU-direct), troubleshoot production data center issues, and participate in full SDLC for on-prem storage solutions.

Lead design and implementation of high-performance distributed storage systems across object, block, and file paradigms. Drive architecture, mentor engineers, integrate storage with networking/compute/DPUs, optimize protocol performance, troubleshoot production data center issues, build benchmarking and observability tooling, and collaborate on cross-functional AI infrastructure deployments.

Designs, builds, and optimizes the enterprise data warehouse and ETL processes. Translates business requirements into logical and physical data models, ensures data quality and integrity, troubleshoots and optimizes queries, maintains documentation and data dictionary, provides technical guidance and leadership on sizable projects, and supports reporting and analysis.

Lead development and validation of multi-state tax documentation and datasets for AI systems. Prepare and review SALT returns, apportionment schedules, nexus analyses, and state-specific workpapers. Conduct multi-jurisdictional research, monitor law updates, and convert tax concepts into machine-readable formats. Collaborate with data and engineering teams and provide expert feedback to improve AI-generated tax outputs and ensure data integrity.

Provide subject-matter expertise in complex tax planning and strategy, develop and validate tax content for AI, create case studies and scenarios, document methodologies, monitor law changes, and advise product and engineering teams.

Lead cross-platform social strategy for patient and HCP audiences, advise internal teams and clients on platform trends, design organic/paid and influencer/KOL programs, recruit/manage ambassadors and creators, present strategic recommendations, translate insights into actionable plans, establish scalable social processes, and mentor junior team members.

The QA Technologist II ensures food safety and product quality on the evening shift, overseeing inspections, monitoring compliance with safety programs, and troubleshooting quality issues.

The Senior Software Engineer will develop embedded software for high-performance networking, collaborate with teams on development activities, and deliver technical documentation.

Own and scale CS systems and data infrastructure: administer Salesforce automations, ensure data integrity, build BigQuery/SQL reporting for retention and expansion, support renewal and partner program operations, and enable cross-functional execution to improve retention and operational efficiency.