190 software deployment engineer jobs at 109 companies in Corralitos, CA
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Forward Deployment Engineer
Menlo Park, California, United States
OnsiteFull Time
Hippocratic AI: Develops safety-focused generative AI for autonomous clinical healthcare conversations.
0+ YOEBachelor's in engineering/CS from a top university, 0–2+ years software engineering experience with production AI deployments, experience with LLMs/RAG, Python, cloud (AWS/GCP/Azure), EHR/FHIR/HL7 integrations, strong communication skills.
LLMs, RAG, Python, APIs, AWS, GCP, Azure, FHIR, HL7, EHR
ZooxNASDAQ: AMZN: Developing autonomous robotaxis for urban ride-hailing services.
7+ YOE7+ years developing scalable Python code, strong Linux and embedded communications knowledge (CAN/Ethernet/LIN), hardware/software debugging, bachelor's in CS/CE or equivalent.
Cerebras SystemsNasdaq: CBRS: Manufactures specialized computer chips designed for AI.
Hands-on experience with Python and Bash, basic Linux, Git, CS/ECE degree or equivalent, networking and Kubernetes familiarity, infrastructure-as-code and observability exposure.
3+ YOEBachelor's degree or equivalent experience; 3+ years in customer-facing technical consulting or related work and software development using JavaScript, Python, and SQL; experience with APIs, data pipelines, and technical solution design.
Pure StorageNYSE: PSTG: Provides all-flash enterprise data storage and management solutions.
3+ YOE3+ years software engineering building backend or distributed systems, strong Python and REST API skills, experience with LLMs, RAG, prompt engineering, AWS deployments, security and observability.
Distinguished Software Engineer, Systems Infrastructure - Compute, Deployment, Infrastructure as Code (IaC)
Mountain View or Bellevue
$253k-$416k/yrHybridFull Time
LinkedInNASDAQ: MSFT: Professional social network for career development and job recruitment.
10+ YOEBachelor's or equivalent,10+ years infrastructure engineering experience,technical leadership,expertise in compute,deployment,Infrastructure as Code,Kubernetes and messaging systems (e.g., Kafka).
PayPalNASDAQ: PYPL: Global digital payments platform for consumers and merchants.
Master’s degree in computer science, engineering, or related field; experience building scalable microservices, APIs, distributed systems, databases, cloud deployments, security, data processing, and machine learning.
Java 21, Spring Boot 3.x, Spring Data JPA, Python 3.10+, Django REST Framework, Flask RESTful, REST, GraphQL, gRPC, Git, Google Kubernetes Engine, Google Pub/Sub, GCP, MySQL, PostgreSQL, Cloud Spanner, OAuth2, JWT, Hadoop, Apache Spark
Lam ResearchNASDAQ: LRCX: Manufacturing equipment used to fabricate advanced semiconductor microchips.
3+ YOEBachelor's in engineering with 3+ years experience (or Master's/equivalent); strong software troubleshooting, debugging, log analysis, customer-facing deployments, ability to read code, and strong communication skills.
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
7+ YOE7+ years software engineering experience; strong Python and PyTorch/TensorFlow; experience with vector storage, agentic AI and LLM deployment, MLOps and CI/CD, cloud (AWS or Azure); leadership and responsible AI practices.
Glean: AI platform for enterprise search and automated workplace agents
4+ YOE4+ years professional software engineering experience in platform/infrastructure; experience with AWS, GCP, Terraform; strong backend and networking fundamentals; infrastructure-as-code and deployment automation experience; strong communication skills.
Google Drive, Slack, Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, AWS, GCP, Terraform
Ollama: Software platform for running open-source large language models.
Software engineering experience with debugging, unfamiliar environments, stack traces, open-source codebases, clear communication, and user support; Go, model deployment, GPU/ML infrastructure, or developer tools are bonuses.
Reevo: AI-native revenue operating system for go-to-market teams.
5+ YOE5+ years of software engineering experience focused on AI/ML systems, with expertise in LLMs, RAG, AI frameworks, model deployment, monitoring, prompt engineering, evaluation, vector databases, and semantic search.
RAG, large language models, AI/ML, ML operations, vector databases, embedding systems, semantic search
SiemensXETRA: SIE: Manufactures industrial automation, infrastructure, and energy technology systems.
6+ YOE6+ years professional software development, distributed systems design, backend proficiency (Python/Go/Java), systems architecture, observability, deployment best practices, and leadership of cross-functional initiatives.
Siemens HealthineersXetra: SHL: Manufacturer of medical diagnostic and imaging equipment.
6+ YOE6+ years software development experience; designing and scaling distributed systems; backend proficiency (Python/Go/Java); strong systems architecture, observability, and deployment skills; ML model serving preferred.
UberNYSE: UBER: A technology platform for transportation, delivery, and freight.
4+ YOE4+ years software engineering, Bachelor’s in CS/CE/Math/Physics or related, proficient in C++ and Linux, EM deployment experience preferred, familiarity with Python; strong communication and critical thinking.
OneSpanNASDAQ: OSPN: Software for digital identity, e-signatures, and fraud prevention.
12+ YOE7+ MgmtRequires 12+ years of software product development, 7+ years as a technical lead, identity and authentication experience, and expertise in Java, distributed systems, API design, Docker, Kubernetes, and cloud deployments.
Predactiv: AI platform for real-time behavioral data and audience activation.
2+ YOEBachelor's in CS or related plus 2 years experience; experience with React JS, Node JS, AWS; Agile experience; coding, testing, deployment skills.
Apptronik: Designs and manufactures humanoid robots for industrial automation.
3+ YOEBS, MS, or PhD in robotics, computer science, electrical engineering, or related field; 3+ years in robotic manipulation or complex motion control; Python, C++, reinforcement learning, and physical robot deployment experience.