Sr. Staff Controls Engineer

Description

POSITION DESCRIPTION:

We are seeking an experienced Senior Staff Controls Engineer with deep expertise in HVAC optimization, building thermodynamics, and scalable data-driven control systems, along with strong capabilities in distributed energy resource (DER) optimization, including solar PV, battery energy storage, and flexible load management.

The ideal candidate is a technical leader who understands the complexity and variability of HVAC systems and building thermal dynamics and can apply that expertise to broader energy optimization challenges. You have a proven track record of developing advanced control algorithms and successfully taking them from concept and modeling through prototyping and commercial deployment, supporting performance across diverse field environments.

In this role, you will help drive the development of next-generation building and distributed energy optimization solutions that integrate HVAC control with onsite generation and energy storage into cohesive, scalable systems.

LOCATION & WORK ARRANGEMENT

Open to candidates based in San Francisco Bay Area or Seattle, WA

On site role with presence aligned to local team cadence and needs

RESPONSIBILITIES

HVAC & Building Optimization

- Architect, design, and implement optimization and control algorithms for HVAC systems incorporating component-level modeling, psychrometric relationships, and whole-building thermodynamic modeling.

- Build scalable, adaptive models capable of generalizing across heterogeneous HVAC architectures including VAV, VRF, AHU-centric systems, heat pumps, chillers, and boilers.

- Develop hybrid physics-based and machine learning models to predict building loads, thermal storage behavior, and equipment performance under uncertainty.

- Design automated tuning and commissioning frameworks enabling rapid deployment across diverse building environments with minimal manual configuration.

Distributed Energy Resource Optimization (Solar + Storage + Loads)

- Develop control strategies that co-optimize building HVAC loads with onsite solar PV and battery energy storage systems (BESS).

- Build integrated energy optimization models coordinating HVAC flexibility with battery dispatch, solar self-consumption, and grid price signals.

- Implement forecasting-informed predictive control strategies that jointly optimize thermal dynamics, PV generation variability, and storage constraints.

- Enhance building-level and portfolio-level optimization engines to maximize economic value through demand charge reduction, TOU arbitrage, and grid service participation.

Productization & Deployment

- Lead the full lifecycle of control products from algorithm design and simulation through pilot deployment and scaled commercial rollout.

- Ensure optimization algorithms are computationally efficient, robust, and fault-tolerant across thousands of deployed assets.

- Partner with software and cloud engineering teams to integrate control logic into distributed real-time platforms.

Field Analytics & Continuous Improvement

- Analyze operational data from deployed systems to diagnose performance issues and refine control models.

- Improve optimization outcomes through continuous model iteration and performance monitoring.

- Develop monitoring, diagnostics, and automated issue detection tools for HVAC systems, PV generation, battery systems, and integrated energy operations.

Leadership & Cross-Functional Collaboration

- Work closely with mechanical engineers, data scientists, cloud architects, product managers, and field operations teams.

- Mentor junior engineers and contribute to the organization’s long-term strategy for scalable building and energy optimization systems.

- Influence the technical roadmap for advanced building energy control and distributed energy integration.

REQUIRED QUALIFICATIONS

- Master’s or PhD in Mechanical Engineering, Control Engineering, Electrical Engineering, Computer Science, or related field.

- PhD + 5 years OR Master’s + 7 years of experience in advanced control system design, HVAC optimization, building energy modeling, or distributed energy resource optimization.

- Demonstrated track record of taking control algorithms from research through production deployment.

- Experience supporting field-deployed control systems across diverse asset environments.

- Deep understanding of HVAC systems and building thermodynamics.

- Strong expertise in optimal control, reinforcement learning, model predictive control (MPC), or hybrid physics-ML modeling.

- Experience designing scalable algorithms for diverse mechanical and energy system configurations.

- Proficiency in Python, C++, or similar programming languages.

- Experience with PV generation modeling, battery optimization, DER forecasting, or microgrid-style control architectures.

- Familiarity with BAS/BMS integration technologies such as BACnet or Modbus.

- Strong analytical and problem-solving skills with the ability to communicate complex multidisciplinary concepts clearly.

- Travel may be required up to 10%, depending on business needs.

PREFERRED QUALIFICATIONS

- Experience optimizing HVAC systems integrated with solar generation and battery storage.

- Familiarity with energy markets, demand response programs, demand flexibility, and ancillary grid services.

- Experience using simulation tools such as EnergyPlus, Modelica, TRNSYS, or similar digital twin environments.

- Knowledge of microservices architectures, CI/CD pipelines, and modern software development practices.

- Experience deploying optimization algorithms within large-scale energy or building management platforms.

Hanwha Q CELLS Technologies, Inc. a subsidiary of Hanwha Q CELLS, one of the world´s largest and most recognized photovoltaic manufacturers for its high-performance, high-quality solar cells and modules. It is headquartered in Seoul, South Korea (Global Executive HQ) Talheim, Germany (Technology & Innovation HQ) and Santa Clara, CA, USA (HW and SW Product Development HQ). Through its growing global business network spanning Europe, North America, Asia, South America, Africa, and the Middle East, the company provides excellent services and long-term partnerships to its customers in the utility, commercial, government, and residential markets. Hanwha Q CELLS is a flagship company of Hanwha Group, a FORTUNE Global 500 firm and a Top 7 business enterprise in South Korea.

PHYSICAL, MENTAL & ENVIRONMENTAL DEMANDS:

To comply with the Rehabilitation Act of 1973 the essential physical, mental and environmental requirements for this job are listed below. These are requirements normally expected to perform regular job duties. Incumbent must be able to successfully perform all of the functions of the job with or without reasonable accommodation.

Mobility

Standing

20% of time

Sitting

70% of time

Walking

10% of time

Strength

Pulling

up to 10 Pounds

Pushing

up to 10 Pounds

Carrying

up to 10 Pounds

Lifting

up to 10 Pounds

Dexterity (F = Frequently, O = Occasionally, N = Never)

Typing

F

Handling

F

Reaching

F

Agility (F = Frequently, O = Occasionally, N = Never)

Turning

F

Twisting

F

Bending

O

Crouching

O

Balancing

N

Climbing

N

Crawling

N

Kneeling

N

The salary range is required by the California Pay Transparency Act and may differ depending on the location of those candidates hired nationwide. Actual compensation is influenced by a wide array of factors including but not limited to, skill set, education, licenses and certifications, essential job duties and requirements, and the necessary experience relative to the job’s minimum qualifications.

- This target salary range is for CA positions only and should not be interpreted as an offer of compensation.

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