Top Tech Jobs & Startup Jobs in Sacramento, CA

Supports semiconductor engineering projects through device testing, characterization, data analysis, process development, and optimization. Collaborates with cross-functional teams to troubleshoot technical issues and improve semiconductor design and manufacturing processes. The internship provides hands-on experience with semiconductor technology, engineering tools, and simulation software.

Develop and test AI software using large datasets, Python, JavaScript, and C++. Evaluate algorithms, statistics, and data to improve industrial applications. Collaborate with machine learning and data engineers on end-to-end AI and integration solutions, stay current with AI trends and regulations, and present project progress to leadership and stakeholders.

Develop, test, and integrate AI software for aerospace and industrial applications. Interns will use Python, JavaScript, and C++ to build AI solutions, evaluate data and algorithms, collaborate with machine learning and data engineers, monitor AI trends and regulations, and present progress to leadership and stakeholders.

Build and operate Block’s data platform, including warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop reliable Python services, developer tools, and Terraform infrastructure for petabyte-scale data. Partner with data practitioners and product teams, establish engineering standards, provide technical direction, and mentor engineers while ensuring security, reliability, observability, usability, and data governance.

Leads Mobile Service Coordinators during overnight and weekend shifts, managing daily operations, staffing, service levels, escalations, performance metrics, coaching, and employee development. The Supervisor partners with dispatch, fleet services, client success, and field teams to resolve issues, improve processes, and enhance customer satisfaction. Responsibilities also include workforce planning, onboarding, compliance, team communications, and fostering accountability and continuous improvement.

Designs and operates batch, streaming, and real-time data platforms and pipelines using Spark, Kafka, Iceberg, Airflow, and cloud infrastructure. Owns data lake evolution, data quality, observability, reliability, governance, event instrumentation, schema management, and privacy controls for PII, retention, deletion, and residency. Leads complex initiatives end-to-end, troubleshoots production issues, mentors engineers, and develops AI agent harnesses that enforce data engineering standards and quality gates.

The Strategic Account Executive drives revenue growth in mid-market accounts, serves as a trusted advisor, manages strategic sales cycles, collaborates cross-functionally, and shares market insights to enhance product development.

Design and lead the technical strategy for search across Vannevar’s products. Build and improve full-text, vector, and LLM-powered retrieval systems, optimizing latency, relevance, index quality, freshness, and performance. Collaborate with ML, product, design, and mission strategy teams to translate user needs into search innovations. Apply expertise in information retrieval, NLP, machine learning, indexing, ranking, query parsing, tokenization, vector search, and evaluation frameworks.

Maintain and publish weekly contact-center schedules, align short-term forecasts to volume, update agent/team records, produce WFM performance reports, manage shift bids, analyze time-off allotments, support WFM coordinators, and liaise with supervisors and leadership to ensure coverage and staffing accuracy.

Own and evolve AWS cloud infrastructure supporting a financial and hospitality technology platform. Design highly available systems, deployment pipelines, observability, security controls, and infrastructure migrations. Lead incident response, reliability planning, capacity management, and root-cause analysis while participating in on-call rotations. Partner with application engineers, establish infrastructure standards, and mentor platform engineers as the organization scales.

Build and operate a scalable data platform supporting warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop Python services, Terraform infrastructure, and developer tools for petabyte-scale data. Partner with data practitioners and product teams, establish security and reliability patterns, set technical direction, improve engineering standards, and mentor engineers.

Own operational processes, reporting, and programs for Customer Success Management. Translate ambiguous leadership questions into solutions, improve processes end-to-end, partner with Revenue Technology/Analytics, support planning (capacity, segmentation, territory), and drive cross-functional alignment with Sales and Finance to scale CS operations.

Lead renewal analytics and forecasting for direct and channel motions. Build renewal health scoring and predictive models, improve Clari and SFDC processes, surface churn and expansion insights, partner with RevOps/Finance/IT, automate reporting, and present recommendations to senior stakeholders to improve retention and renewal performance.