Peak Energy 

Job Title:  Manufacturing Software Engineer

Location:  Burlingame, CA or Sacramento, CA

Department: Manufacturing Engineering 

Reports To: Software Engineering Manager

Position Type: Full-time 

About Peak Energy 

Peak Energy is the first American venture to advance globally proven Sodium-Ion battery systems as the storage standard for the new era of renewable energy on a resilient grid. 

Sodium-Ion is cheap, readily available and safe, making it the leading contender in a rapidly evolving market. 

Our leadership team is powered by decades of expertise in scaling gigawatt-level innovation at world-class companies such as Tesla, Northvolt, Apple, Powin, Enovix, Zipline, Solid Power, and Fluence. We are backed by strategic investment and product partners such as TDK Ventures and Eclipse Ventures. 

We are a team of engineers, operators, entrepreneurs, and partners driven by a shared ambition to set the new performance standard for renewable energy and grid resilience. 

About the Role - Manufacturing Software Engineer

We're hiring a mid-level software engineer to build the distributed systems that connect our production equipment to MES and our enterprise stack. You'll work on the SCADA/equipment-integration layer — acquiring data over OPC-UA and other industrial protocols, normalizing it, and delivering it reliably into MES under real-world floor conditions — as well as the microservices that integrate our ERP and PLM systems.

This is a hands-on engineering role on a small team. You'll design and implement services, care about concurrency and performance, and stand behind your code on a live production floor. You'll work closely with senior engineers who own the broader architecture, contributing strong distributed-systems engineering to it.

What You'll Do (Responsibilities)

• Build Go services in a microservice architecture that acquire equipment data (OPC-UA and other industrial protocols), normalize it, and publish it to MES and downstream consumers

• Engineer for high concurrency and high throughput — many stations and signals streaming simultaneously, with low-latency, backpressure-aware processing

• Build and maintain the ERP/PLM integration microservices that sync work orders, BOMs, routings, part/revision data, and as-built/genealogy records between the floor and enterprise systems

• Build event-driven data pipelines feeding a cloud data lake for production and quality analytics

• Add observability — metrics, tracing, alerting — so service health and equipment connectivity are visible, not silent

• Contribute to internal tooling and dashboards that surface production and quality data

What You'll Bring (Qualifications)

• 2–3 years of professional software engineering experience building production backend / systems software

• Strong distributed systems fundamentals — concurrency, consistency models, idempotency, message delivery semantics, fault tolerance

• Experience designing and operating microservice architectures in production

• Proficiency in Go (or a strong systems-language background with demonstrated ability to ship in Go)

• Comfortable engineering for high concurrency and high performance — profiling, contention, throughput/latency trade-offs

• Hands-on manufacturing / shop floor software experience — you've worked on or adjacent to production lines

• ERP and/or PLM background — you've integrated with systems like SAP, Oracle, NetSuite, Dynamics, Teamcenter, Windchill, Arena, etc.

• Working knowledge of SCADA / MES concepts and industrial communication, especially OPC-UA (Modbus, MQTT, PLC interfaces a plus)

• Self-directed, communicative, and effective in a fast-moving startup environment

• Able to work on-site in Burlingame, CA

Preferred Qualifications

• Direct experience with OPC-UA client/server implementations and industrial data acquisition at scale

• Experience with event streaming infrastructure (Kafka, Kinesis, NATS, etc.) and time-series data

• Experience building or operating a data lake / lakehouse and modern ELT pipelines

• Familiarity with traceability/genealogy systems in a quality-driven manufacturing context

• AWS / Kubernetes (EKS) operational experience

• Background in batteries, energy storage, or other hardware-adjacent manufacturing

Peak Energy is committed to building a diverse and inclusive workforce. We strongly encourage women, people of color, and individuals from underrepresented groups to apply. We value skills, potential, and perspective over specific credentials. If you’re excited about this role but your experience doesn’t look perfect on paper, we still want to hear from you. 

Our Core Values 

• Speed Through Focus - Move fast but understand why. Focus on the goal, don't sacrifice quality.  

• Mission Over Self - It's about the greater good; confident humility. Take ownership and accountability.  

• Face the Brutal Truth - Transparency, honesty, big picture curiosity. Fearless decision making.  

• Be a Good Person - Kindness, collaboration and teamwork. 

Compensation & Benefits 

The salary range for this role is $130,000-$180,000, with actual pay varying based on work location, experience, and skills. Our competitive benefits package includes: 

• Flexible time off  

• Comprehensive medical, dental, and vision coverage  

• Strong 401(k) plan  

• Equity opportunities  

• Many great work perks 

Join us to thrive in a supportive environment while making a meaningful impact in the energy sector! 

At Peak Energy Technologies Inc., we believe that a diverse and inclusive workplace makes us a more capable, innovative, and competitive company. We welcome people who represent diversity in their backgrounds, ethnicities, cultures, and experiences. Peak Energy Technologies Inc. is an equal opportunity employer, aiming to reach our company’s full potential by cultivating an inclusive workforce. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status.