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Decision Engineer Jobs in California (NOW HIRING)

landa

AI Engineer, Decision Intelligence

San Francisco, CA · On-site

$180 - $220/hr

AI Engineer, Decision Intelligence San Francisco, CA Engineering In office Full-time Every dispute is one move in a repeated game against an adaptive opponent. Build the system that gets better at ...

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Abbott

Decision Support Tools Engineer

Alameda, CA · On-site

Our breakthrough wearable technologies support medical decision making and encourage patient ... Create reusable toolkits and templates that enable algorithm developers and clinical scientists to ...

Abbott

Decision Support Tools Engineer

Alameda, CA · On-site

Our breakthrough wearable technologies support medical decision making and encourage patient ... Create reusable toolkits and templates that enable algorithm developers and clinical scientists to ...

Abbott

Decision Support Tools Engineer

Alameda, CA · On-site

Our breakthrough wearable technologies support medical decision making and encourage patient ... Create reusable toolkits and templates that enable algorithm developers and clinical scientists to ...

Rivian

Sr. Data Engineer, Ops Decision Systems

Palo Alto, CA · On-site

$132.10 - $165.10/hr

The Sr. Data Engineer, Ops Decision Systems role combines applied data science, analytics engineering, and operations ownership: the role both engineers the simulation systems and is accountable for ...

Rivian

Sr. Data Engineer, Ops Decision Systems

Palo Alto, CA · On-site

$131K - $157K/yr

The Sr. Data Engineer, Ops Decision Systems role combines applied data science, analytics engineering, and operations ownership: the role both engineers the simulation systems and is accountable for ...

Rivian

Sr. Data Engineer, Ops Decision Systems

Palo Alto, CA · On-site

$131K - $157K/yr

The Sr. Data Engineer, Ops Decision Systems role combines applied data science, analytics engineering, and operations ownership: the role both engineers the simulation systems and is accountable for ...

Rivian

Sr. Data Engineer, Ops Decision Systems

Palo Alto, CA · On-site

$134K - $162K/yr

The Sr. Data Engineer, Ops Decision Systems role combines applied data science, analytics engineering, and operations ownership: the role both engineers the simulation systems and is accountable for ...

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Decision Engineer information

What are the key skills and qualifications needed to thrive as a decision engineer, and why are they important?

To thrive as a Decision Engineer, you need strong analytical skills, expertise in data modeling, and a background in fields like operations research, mathematics, or computer science. Familiarity with decision analysis tools, optimization software (such as CPLEX or Gurobi), and programming languages like Python or R is typically required. Exceptional problem-solving abilities, communication skills, and the capacity to synthesize complex information are valuable soft skills in this role. These competencies enable Decision Engineers to develop effective solutions for complex business challenges and drive data-informed decision-making.

How does a decision engineer typically collaborate with data scientists and business stakeholders to deliver impactful solutions?

Decision Engineers frequently act as a bridge between technical teams and business stakeholders. In a typical workflow, they collaborate with data scientists to understand the underlying data models and analytical outputs, then work closely with business leaders to translate these insights into actionable strategies. This often involves facilitating discussions to clarify business objectives, ensuring analytical approaches align with end goals, and iteratively refining solutions based on feedback. Strong communication and project management skills are essential, as Decision Engineers must synthesize complex information and drive consensus among diverse teams.

What is a decision engineer?

Decision Engineers are professionals who apply analytical, mathematical, and computational techniques to help organizations make data-driven decisions. They often use tools from operations research, data science, and systems engineering to evaluate complex options, optimize processes, and predict outcomes. Their work enables businesses to solve challenging problems, improve efficiency, and minimize risks in decision-making processes.

What is the difference between Decision Engineer vs Data Scientist?

AspectDecision EngineerData Scientist
Required credentialsBachelor's or master's in engineering, analytics, or related fieldsBachelor's or master's in statistics, computer science, or related fields
Work environmentFocus on designing decision models, algorithms, and optimization processesFocus on analyzing data, building predictive models, and extracting insights
Employer and industry usageUsed in industries like manufacturing, finance, and logistics for decision automationCommon in tech, finance, healthcare for data analysis and modeling

Decision Engineers primarily develop decision models and optimize processes to improve business outcomes, while Data Scientists analyze data to generate insights and predictive models. Both roles require strong analytical skills, but Decision Engineers focus more on decision automation and operational efficiency, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Decision Engineer jobs in California? For Decision Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Decision Engineer jobs in California look for? The top searched job categories for Decision Engineer jobs in California are:
What cities in California are hiring for Decision Engineer jobs? Cities in California with the most Decision Engineer job openings:
Decision Engineer jobs near you

Decision Engineer, Infrastructure Development & Delivery

Fluidstack

San Francisco, CA • On-site

$208K - $269K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

About Fluidstack
We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.
We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.
We hire people who care deeply about this problem space. If that is you, please apply!
Overview:
We are hiring Decision Engineers (AI Software Engineers) for the Infrastructure Development & Delivery team within Decision Engineering, building decision systems for infrastructure development and delivery workflows. Decision Engineers serve as an internal force multiplier, building AI-powered tools and decision systems that make every team member significantly more productive. You'll work directly with the infrastructure development and delivery teams to identify high-impact opportunities for AI augmentation, then ship tools that drive measurable productivity gains. This is a unique opportunity to define how a fast-growing infrastructure company integrates AI into every aspect of its operations.
Responsibilities:
  • Build decision systems and internal tools leveraging frontier models that make infrastructure development and delivery workflows significantly more productive
  • Own tools end to end, from conception through production, iterating directly with the people who use them
  • Design and maintain shared AI infrastructure including AGENTS.md and SKILLS.md, and build shared skills for the organization
  • Build custom integrations between LLMs and internal systems (Slack, GitHub, internal APIs, operational data)
  • Stay current with rapidly evolving AI capabilities and proactively identify new opportunities to apply emerging techniques
Requirements:
  • 3+ years of software engineering experience with production-grade code in Go, Python, and TypeScript (and the ability to work in an arbitrary language, primarily driving AI coding tools)
  • Strong full-stack development skills building web applications (React, Next.js, or similar frameworks)
  • Hands-on experience building applications with LLM APIs (OpenAI, Anthropic, or open-weight models), creating and using MCP servers, and agentic frameworks
  • Daily, demonstrable use of AI coding agents (Claude Code, Cursor, or similar) with concrete examples of tools and skills you have built
  • Proven ability to work autonomously: identifying problems, designing solutions, and shipping results with minimal direction and high impact
  • Strong product and systems judgment, comfortable with ambiguity and a demanding pace
  • Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders and drive adoption
  • Nice to have: exposure to data center delivery, construction, or infrastructure operations tooling

Benefits:
  • Competitive total compensation package (cash + equity)
  • Health, dental, and vision insurance
  • Retirement plan
  • Generous PTO policy

We are committed to pay equity and transparency.
Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.

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