Head of Software Engineering

GridCARE; Redwood City (CA); Hybrid; USD 300,000 - 420,000; Full time

Benefits offered by this job

Salary + equity

Health, dental, and vision coverage

Lunch provided

Hybrid schedule

Job summary

GridCARE, Inc. is seeking a Senior Vice President of Engineering to lead and scale an engineering organization spanning software, physical systems modeling, optimization, and platform infrastructure.

You will own the engineering delivery, translating physics-based models and real-time data pipelines into reliable products for hyperscalers and utilities. This hands-on executive role requires reviewing code, shaping architecture, and building leadership depth while guiding rapid growth and

Qualifications

• 10+ years of engineering leadership experience (VP level or above) at high-growth deep-tech or SaaS companies.
• Experience leading teams building physics-based modeling and AI/ML products (simulation, scientific computing, optimization).
• Strong product leadership with shipping and scaling software in collaboration with Product and GTM teams.
• Experience scaling engineering orgs during rapid growth, hiring and developing managers/senior tech leaders.
• Hands-on depth to review code, assess architecture, and engage with engineers on distributed systems and data pipelines.
• Track record delivering high-availability, mission-critical production systems.
• Systems thinker able to bridge strategy and technical detail and communicate with executives, engineers, and customers.

Responsibilities

• Build, mentor, and scale a multidisciplinary engineering org across platform/backend, physical systems modeling, optimization, and DevOps/infrastructure.
• Own the engineering roadmap and establish rigorous CD, architecture, and observability practices for mission-critical software.
• Translate the founder/CTO's vision into scalable, deployed products for hyperscalers and utilities.
• Ensure enterprise-grade security, fault tolerance, low latency, and continuous uptime across cloud and on-prem environments.
• Foster an AI-native culture using modern AI tools, automation, and first-principles thinking to move fast safely.

Skills

Engineering leadership

Physics-based modeling

AI/ML domains

Product leadership

Scaling engineering organizations

Hands-on technical depth

High-availability systems

Systems thinking

Education

Advanced degree in engineering/physics/computer science

Tools

Python

Distributed systems

Data pipelines

Job description

Fastminds is a recruiting partner of Gridcare.

We are helping Gridcare find a Head of Software Engineering.

Location: Redwood City, CA — Hybrid (3 days/week in office)

Type: Full-time

About GridCARE

GridCARE is the pioneer of Power Acceleration — a new category solving the most critical constraint in AI's growth trajectory: immediate access to power. As demand for computing skyrockets, access to energy has become the defining bottleneck in the AI infrastructure race. While leading tech companies invest billions in speculative, long-term solutions that may take decades to arrive, GridCARE's Energize™ platform uses physics-based AI to identify and activate gigawatts of hidden capacity in today's electric grid — enabling hyperscalers, data center developers, and utilities to power AI infrastructure years sooner than conventional approaches and without costly upgrades.

Founded at Stanford's Doerr School of Sustainability, GridCARE has assembled a world-class team spanning power systems, AI, and infrastructure, and is backed by leading climate-tech and deep-tech investor

At GridCARE, you will:

Work at the intersection of AI, energy, and infrastructure — the foundation of the next industrial revolution.

Partner with hyperscalers, developers, and utilities on high-impact, real-world deployments.

Help shape a more abundant, efficient, and resilient energy future for the digital era.

Join a company defining a new category — Power Acceleration for AI.

Receive competitive compensation, equity, and benefits in a fast-growth, mission-driven environment.

Learn more about GridCARE:

• TechCrunch: GridCARE thinks more than 100 GW of data-center capacity is hiding in the grid
• Utility Dive: Portland General Electric invests in AI-powered flexibility to speed data-center connection
• GridCARE Raises $64 Million Series A to Create a New Category: Power Acceleration
• GridCARE Named a World Economic Forum Technology Pioneer for AI Power Innovation

The Role

GridCARE is seeking a Senior Vice President of Engineering to lead and scale our engineering organization across software, physical systems modeling, optimization, and platform infrastructure. Reporting to the Founder & CTO, you will own how engineering delivers- turning physics-based models, grid optimization algorithms, and real-time data pipelines into reliable, production-grade products for hyperscalers, data center developers, and utilities.

This is a hands-on executive role. You will think in systems and set direction for the entire organization, while staying close enough to the work to review code, pressure-test architecture, and roll up your sleeves when it matters most. You will lead the team through a period of rapid growth and build the leadership bench, processes, and culture that allow it to keep scaling.

Responsibilities

• Organization & Scale: Build, mentor, and scale a world-class, multidisciplinary engineering org across platform/backend, physical systems modeling, numerical optimization, and DevOps/infrastructure.
• Execution & Delivery: Own the engineering roadmap and establish rigorous continuous delivery, architecture, and observability practices for mission-critical software.
• CTO Strategic Partner: Translate the Founder & CTO's research and architectural vision into scalable, deployed products for hyperscalers and utilities.
• Mission-Critical Reliability: Ensure enterprise-grade security, fault tolerance, low latency, and continuous uptime across cloud and on-premises utility environments.
• AI-Native Culture: Build a culture that uses modern AI tools, automation, and first-principles thinking to move fast without compromising safety or reliability.

Qualifications

Required

• 10+ years of engineering leadership experience, including senior executive roles (VP level or above) at high-growth, venture-backed deep-tech or SaaS companies.
• Proven experience leading engineering teams that build products in physics-based modeling and AI/ML domains (e.g., simulation, scientific computing, optimization, applied machine learning).
• Strong product leadership: a track record of shipping and scaling commercial software products in close partnership with Product and GTM teams.
• Experience scaling engineering organizations through rapid growth, including hiring and developing managers and senior technical leaders.
• Hands-on technical depth — able to review code, evaluate architecture, and engage credibly with engineers on distributed systems, data pipelines, and Python-based stacks.
• Track record of delivering high-availability, mission-critical systems in production.
• A systems thinker who moves fluidly between organization-level strategy and technical detail, and communicates clearly with executives, engineers, and customers.

Preferred

• Experience in the energy sector, such as power systems, utilities, grid operations, energy markets, or SCADA/industrial telemetry.
• Experience delivering software into regulated or security-sensitive environments (e.g., NERC CIP, SOC 2).
• Experience with real-time streaming and time-series data at scale.
• Experience partnering closely with a technical founder at an early- or growth-stage company.
• Advanced degree in engineering, physics, computer science, or a related quantitative field.

Location

• Redwood City, CA — hybrid, on-site 3 days per week.

What We Offer

• Competitive salary, performance bonus, and equity.
• Comprehensive health, dental, and vision coverage.
• Lunch provided three days a week in office.
• Hybrid schedule: 3 days in office for collaboration, 2 days remote for focused work.
• Access to leading academic, industry, and government partners in the AI-energy ecosystem.
• A mission-driven team focused on shaping the future of the energy transition.