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Remote Power Systems Engineer Jobs in California

Grantek

Systems Engineer

San Jose, CA · Remote

System programming, debugging, troubleshooting, and testing across multi-vendor platforms ... Coordinating work with remote teams across multiple time zones. * Mentoring colleagues and ...

Terabase Energy, Inc

Field Systems Engineer

Davis, CA · On-site +1

$120K - $140K/yr

... power plant assembly works from the field using a combination of advanced pre-assembly and ... • Remote flexibility • Flexible time off • Comprehensive benefits package • Career ...

Reliable Robotics

Sr. Systems Engineer

Mountain View, CA · On-site +1

$190K - $300K/yr

Maintenance Systems, Electrical Power, Propulsion, Avionics, Data Networks, Communication, C2 Link ... This role can be remote, or located at our facility in Mountain View, California. Must be willing ...

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Remote Power Systems Engineer information

Can you make $500,000 as an electrical engineer?

Remote Power Systems Engineers with extensive experience, specialized skills, and advanced certifications can potentially earn salaries approaching or exceeding $500,000 annually, especially in senior or leadership roles. However, such high earnings are uncommon and typically require a combination of expertise, industry demand, and sometimes performance-based bonuses or profit sharing.

What engineers make $300,000 a year?

Senior power systems engineers with extensive experience, advanced certifications, and expertise in high-voltage systems or renewable energy projects can earn $300,000 or more annually. Such roles often require specialized skills, leadership responsibilities, and work in industries like utilities, energy consulting, or large-scale infrastructure projects.

What engineers make $500,000?

Senior power systems engineers with extensive experience, specialized skills in grid integration, and advanced certifications can reach or exceed a $500,000 annual salary, especially in high-demand industries or senior leadership roles. Achieving this level often requires a combination of technical expertise, project management, and strategic responsibilities.

Can I make 200K as an electrical engineer?

Remote Power Systems Engineers with specialized skills, extensive experience, and advanced certifications can potentially earn $200,000 or more annually, especially in senior or managerial roles. Salary depends on factors such as industry, location, and the complexity of projects handled, with high-demand areas and expertise in grid integration or renewable energy commanding higher pay.
What are the most commonly searched types of Power Systems Engineer jobs in California? The most popular types of Power Systems Engineer jobs in California are:
What are popular job titles related to Remote Power Systems Engineer jobs in California? For Remote Power Systems Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Power Systems Engineer jobs in California look for? The top searched job categories for Remote Power Systems Engineer jobs in California are:
What cities in California are hiring for Remote Power Systems Engineer jobs? Cities in California with the most Remote Power Systems Engineer job openings:
Remote Power Systems Engineer jobs near you
Infographic showing various Remote Power Systems Engineer job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Senior AI Workflow & Systems Engineer

Senior AI Workflow & Systems Engineer

TubeScience

Los Angeles, CA • Remote

$110K - $160K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

Senior AI Workflow & Systems Engineer  
Build and run the AI infrastructure that powers every team at TubeScience.

Role: Senior AI Workflow & Systems Engineer  
Location: Remote (Los Angeles based preferred)  
Compensation: Remote $70,000-$120,000 | Los Angeles $110,000-$160,000  
Reports to: VP of IS  
Team: Information Systems

About TubeScience

TubeScience is a data-driven creative studio producing performance advertising at massive scale - and we're growing fast. We're looking for a Senior AI Workflow & Systems Engineer to be the most technically sophisticated AI builder in the company. You'll sit in IT but serve everyone - owning the infrastructure, deployments, and systems that make our AI initiatives real, and unblocking every team that's building on top of them.

The Role

This is a systems and deployment role for someone genuinely excited about where AI is taking enterprise engineering. You won't just design workflows - you'll own the infrastructure they run on, keep them running reliably, and be the expert other teams call when things break or they hit a wall.

You are the architect, the deployer, the maintainer, and the unlocker - all in one. When there's no PM driving an AI initiative, you'll step in and own it end-to-end.

What You'll Own

AI Workflow Engineering

  • B
    • uild and deploy LLM-powered applications and agent-based workflows that eliminate manual effort across the company
  • D
    • esign multi-step agentic pipelines - tool use, RAG, structured outputs - built for production, not demos
  • I
    • ntegrate AI workflows with TubeScience's existing systems via REST APIs, webhooks, and custom integrations
  • D
    • evelop automation pipelines
  • E
    • valuate emerging AI tooling and own build-vs-buy decisions

    Infrastructure & Deployment

  • O
    • wn deployment and management of AI workflows and applications on Vercel and cloud platforms
  • B
    • uild and maintain the infrastructure that supports TubeScience's AI initiatives - including cloud-based agents, serverless functions, and supporting services
  • D
    • esign for resilience: logging, error handling, alerting, and monitoring across all deployed systems
  • M
    • anage secrets, environment configs, and deployment pipelines across environments
  • A
    • lign with engineering on architecture, scalability, and infrastructure decisions

    Cross-Functional Enablement

  • S
    • erve as the go-to technical resource for teams across TubeScience building AI-powered workflows and apps
  • D
    • eploy, maintain, and improve departmental AI tools - owning the full lifecycle from build to production
  • D
    • ebug and unstick builders across the company when they hit technical walls
  • T
    • ranslate team-specific business needs into precise technical requirements and actionable solutions
  • S
    • erve as final escalation for complex AI and systems issues teams can't resolve on their own

    Ownership & Improvement

  • P
    • roactively audit AI systems and workflows for reliability issues, inefficiencies, and improvement opportunities
  • W
    • hen there's no dedicated PM on an AI initiative, step in: define the problem, scope the solution, and drive it to completion
  • P
    • rototype emerging AI tools and frameworks and bring the best ones into TubeScience's stack
  • D
    • ocument every system thoroughly so the company can run it confidently

    What We're Looking For

    Background & Experience

  • 4
    • -6+ years in software engineering, DevOps, or systems engineering - with hands-on AI/ML experience
  • S
    • trong foundation as a software, systems, or DevOps engineer who has grown into AI - not the other way around
  • P
    • roven experience deploying and managing production applications on Vercel, AWS, GCP, or equivalent
  • H
    • ands-on with LLMs, generative AI, and orchestration tools (n8n, Make, Zapier, LangChain, or equivalent)
  • P
    • roven REST API integration experience with solid edge-case handling
  • E
    • xperience building or maintaining cloud-based agents and serverless infrastructure

    Technical Skills

  • S
    • trong Python and/or JavaScript/Node.js - clean, production-grade code
  • S
    • olid understanding of deployment pipelines, CI/CD, environment management, and secrets handling
  • E
    • xperience with vector databases and embedding-based retrieval
  • C
    • omfortable with cloud infrastructure (AWS and/or GCP) and cloud-native application patterns
  • F
    • amiliarity with monitoring, logging, and alerting for production systems

    Soft Skills

  • H
    • ighly autonomous - identifies problems and ships solutions without waiting to be asked
  • E
    • ffective communicator across technical and non-technical audiences
  • S
    • trong product instincts: can step into ownership of an initiative when there's no PM in the room
  • C
    • alm under pressure; reliable when other teams are blocked and need answers fast
  • C
    • omfortable working across many different teams and problem domains simultaneously

    Bonus Points

  • E
    • xperience with AI agent frameworks
  • B
    • ackground in high-volume performance advertising, media, or creative production
  • E
    • xperience with AI in a production context
  • M
    • ulti-step agentic pipeline design or large-scale workflow orchestration
  • E
    • xperience with data pipelines or BI tooling

    Benefits
    Health, Vision & Dental coverage  
    Unlimited PTO  
    401(k) + Matching  
    Life Insurance  
    Paid Sick Days  
    Paid Parental Leav

    Apply