We are seeking a hands-on Software Engineering Lead to help build and scale intelligent software systems for next-generation Solid State Transformers (SSTs). You will architect the development of data pipelines, edge applications, and cloud services that power real-time monitoring, diagnostics, and predictive intelligence for grid-connected hardware.
This is a foundational role in the software team, with a clear path to evolve into an Engineering Manager as the team grows.

KNOWLEDGE, SKILLS AND ABILITIES

• 7+ years of industry experience.
• Strong experience in Go , Python , or similar languages for distributed systems.
• Deep understanding of event-driven architectures , NATS/Kafka , and stream processing .
• Experience working with IoT , edge computing , or real-time telemetry pipelines.
• Comfortable with Docker, Kubernetes , and cloud-native infrastructure (AWS, GCP, etc.).
• Familiarity with ML inference pipelines , TensorFlow Lite, or similar frameworks is a plus.
• Experience working cross-functionally with hardware and AI teams.

QUALIFICATIONS

• PhD/Masters or Bachelors degree in computer science.
• 5+ years of industry experience.
• Previous record of mentoring teams is a plus.

• Lead design & development of software services across edge devices (e.g., Jetson/NVIDIA), NATS streams, and cloud analytics.
• Build robust, testable, and scalable systems for data ingestion, anomaly detection, and device orchestration.
• Work closely with hardware, product, and AI teams to bring SSTs to life as intelligent grid-connected assets.
• Own critical architectural decisions for the software stack, both at the edge and in the cloud.
• Set up best practices for code quality, CI/CD, observability, and infrastructure-as-code.
• Mentor junior engineers and grow into a people leader as the team scales.
• Help shape hiring strategy, onboard new team members, and define technical direction.