Top 46 Head of engineering Jobs in Half Moon Bay, Ca

Head of Engineering
Dyna Robotics —Redwood City, CA
- $250,000 - $350,000 a year
- Full-time
- Research
- Software development
- In-person
Head of Data Engineering
Atlassian —San Francisco, CA
- $197,955 - $311,375 a year
- Remote
- Computer Science
- DevOps
- Product management
- Health insurance
Head of Engineering
Gamut —San Francisco, CA
- $50,000 - $500,000 a year
- Full-time
- Office
- Mentoring
- Senior level
Head of Engineering
Broccoli AI —San Francisco, CA
- Full-time
- Office
- 8 years
- Senior level
Head of Engineering, Platform
Goodfire —San Francisco, CA
- $300,000 - $450,000 a year
- Office
- Organizational skills
- Software development
Head of Platform Engineering
Rootly —San Francisco, CA
- Full-time
- Hybrid work
- Office
- AWS
- Mentoring
- Health insurance
- Dental insurance
Head of Engineering Programs
Mariana Minerals —San Francisco, CA
- $180,000 - $240,000 a year
- Full-time
- Engineering
- Continuous improvement
- Senior level
Head of Field Engineering Operations
Vercel —San Francisco, CA
- $260,000 - $300,000 a year
- Full-time
- Hybrid work
- Office
- 8 years
- SQL
- Health insurance
Head of AI Engineering at AIOS — Remote, $200-$400k/yr + equity
AIOS (YC W20/S21) —San Francisco, CA
- $200,000 - $400,000 a year
- Full-time
- Remote
- Computer Science
- System design
- Databases
- Health insurance
- Paid time off
13d
Head of Engineering, North America
Heidi —San Francisco, CA
- Full-time
- Office
- Senior level
- Commercial
- Dental insurance
- Vision insurance
Head of Global Government Affairs
Snowflake —Menlo Park, CA
- $250,000 - $380,000 a year
- Full-time
- 11+ years
- English
- Office
- Health savings account
- Paid holidays
Head of Forward Deployed Engineering [NYC or SF]
Amigo —San Francisco, CA
- $300,000 - $500,000 a year
- Full-time
- Office
- Senior level
- Leadership
- Dental insurance
- Vision insurance
Head of Product Engineering
Abbott Laboratories —Alameda, CA
- $172,000 - $344,000 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Health insurance
Head of Engineering
LiteLLM —San Francisco, CA
- $250,000 - $300,000 a year
- Full-time
- Engineering
- Experience equivalent to degree accepted
- Senior level
- Dental insurance
- Vision insurance
Quick Apply
Head of Engineering
Tread —San Francisco, CA
- $200,000 - $260,000 a year
- Full-time
- Hybrid work
- System design
- Office
- AWS
- Health insurance
- Dental insurance
Head of ML/AI Exploration, Architecture, & Engineering
Loon —Mountain View, CA
- $307,000 - $422,000 a year
- Full-time
- Computer Science
- Office
- Doctor of Philosophy
Head of Engineering
Superpower —San Francisco, CA
- Full-time
- Management
- Mentoring
- Senior level
Head of Engineering
LTV.ai —San Francisco, CA
- Full-time
- Office
- 8 years
- AWS
Head of Robotics Engineering
Dexmate —Fremont, CA
- $200,000 - $400,000 a year
- Full-time
- Management
- System design
- 8 years
Head/VP of Engineering
Valius Sciences —San Francisco, CA
- $250,000 - $350,000 a year
- Full-time
- Hybrid work
- Management
- System design
- Office
- Health insurance
- Dental insurance
Quick Apply

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Head of Engineering

Dyna Robotics
Redwood City, CA

Apply Now

Job Details

Full-time
$250,000 - $350,000 a year

Qualifications

Customer communication
Talent management
Employee retention
Managing engineering teams
Quality risk management
General management

Full Job Description

Dyna Robotics makes general-purpose robots powered by a proprietary embodied AI foundation model that generalizes and self-improves across varied environments with commercial-grade performance. Dyna's robots have been deployed at customers across multiple industries. Its frontier model has the top generalization and performance in the industry.

Dyna Robotics has raised over $140M, backed by top investors including CRV, First Round Capital, Robostrategy, Salesforce Ventures, NVentures, Amazon, Samsung Next, and LG Technology Ventures. Our team brings together engineers and researchers from Google, Meta, Apple, Amazon, Cruise, Aurora, NVIDIA, along with academic roots at Stanford, Berkeley, MIT, UPenn, and beyond. We're positioned to redefine the landscape of robotic automation.

The Role

We're looking for a senior engineering leader to build and lead Dyna's blended engineering organization across hardware, software, AI systems, and deployment-facing product work. This leader will create the team structure, operating rhythm, communication loops, and execution discipline that turn research breakthroughs into reliable customer deployments.

This is not a pure technical architect role or a staff-plus IC role. You should understand complex hardware-software and AI-enabled systems deeply enough to ask the right questions, align experts, and connect research, software, hardware, and field deployment decisions. Your primary mandate is organizational: build the team, retain strong people, manage progress, share context, and ensure execution across ambiguous, high-stakes work.

This is an on-site role based in Redwood City. You will work closely with Dyna's founders, senior leadership team, ML Research, Hardware, Software, Operations, Product, and Deployment. The right candidate understands that Dyna's advantage comes from tightly coupling research, engineering, and real-world deployment feedback, not from treating research and commercialization as separate handoffs.

What You'll Do

Team Building & Retention: Hire, onboard, grow, and retain ICs and managers; build leadership capacity, clear ownership, useful feedback loops, and career paths before the organization outgrows them.
Operating Cadence & Resource Bottlenecks: Set planning cadences, milestones, owners, decision forums, and progress visibility while identifying bottlenecks across people, decisions, dependencies, hardware access, deployment support, and cross-team capacity.
Execution Ownership: Drive large, cross-functional initiatives from definition through field validation, launch, and post-deployment learning; define readiness criteria and operating metrics so quality, reliability, and safety risks are visible before deployment.
Research-to-Deployment Loop: Partner with research, software, hardware, and operations so customer deployment feedback becomes actionable engineering and research priorities.
Vision & Context Alignment: Translate leadership-team vision into clear execution context for managers and ICs, keeping teams aligned on goals, tradeoffs, risks, timelines, resource constraints, and next decisions.

What You'll Bring

Engineering Leadership & Org Building: 10+ years in hardware, software, robotics, or complex systems engineering, including 4+ years managing engineers and 1+ year managing managers, with a track record hiring, scaling, retaining, and developing teams through fast growth and ambiguity.
Operating Discipline: Strong instincts for planning, accountability, risk management, execution reviews, readiness tracking, resource bottleneck detection, and clearing systemic blockers without becoming the technical owner of every detail.
Hardware + Software Systems Context: Real understanding of environments where software/AI, hardware, and real-world deployment are tightly coupled, such as AV, AR/VR, robotics, drones, consumer electronics, smart devices, or AI-enabled manufacturing; enough technical judgment to align specialists without acting as the primary IC.
Research-to-Deployment Fluency: Experience taking research prototypes, complex hardware-software systems, or physical AI products toward dependable real-world deployment.
Cross-Functional Communication: Ability to coordinate clearly with researchers, engineering leads, hardware, operations, deployment, product, field operators, executives, and customers, translating leadership direction into execution-team context without losing ownership, urgency, or clarity.

Bonus Points For

Relevant Backgrounds: Robotics is a strong plus, but not required. Strong candidates may come from AV, AR/VR, drones, consumer electronics, smart devices, hardware + software platforms, AI-enabled manufacturing, or similar complex hardware-software environments.
Org Scaling: Experience scaling an engineering organization through multiple layers of management.
Field Feedback Loops: Experience building deployment-feedback loops where real-world data directly improves research, models, product, or platform reliability.
Technical Exposure: Exposure to ML training infrastructure, model serving, data systems, real-time systems, edge deployment, hardware-software interfaces, or complex physical-product launches.

At Dyna Robotics, we build technology for the real world, which requires a team as diverse as the environments our robots inhabit. We are an equal opportunity employer committed to technical rigor and mutual respect.

Don't let a checklist stop you. We value judgment, ownership, communication, and execution over keyword matching. If you're excited to build the organization that turns robotics research into durable customer value, we want to hear from you.

Compensation Range: $250K - $350K

Apply Now

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head of engineering jobs in half moon bay, ca

Head of Engineering

Head of Data Engineering

Head of Engineering

Head of Engineering

Head of Engineering, Platform

Head of Platform Engineering

Head of Engineering Programs

Head of Field Engineering Operations

Head of AI Engineering at AIOS — Remote, $200-$400k/yr + equity

Head of Engineering, North America

Head of Global Government Affairs

Head of Forward Deployed Engineering [NYC or SF]

Head of Product Engineering

Head of Engineering

Head of Engineering

Head of ML/AI Exploration, Architecture, & Engineering

Head of Engineering

Head of Engineering

Head of Robotics Engineering

Head/VP of Engineering

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