Software Engineer, Device

Utilidata is a fast‑growing NVIDIA‑backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade, we have applied AI to the electric grid — bringing real‑time visibility and power‑flow control to complex energy infrastructure. Our Karman platform, built on a custom NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them.

• Design, propose, plan, implement, and test resource‑constrained, edge software in Python (and possibly lower‑level languages, e.g., Rust) including the implementation of precision telemetry collection, real‑time control interfaces, and robust system observability.
• Create and maintain CI/CD processes as necessary to support development and deployment with a focus on reproducibility, regression testing for embedded systems, and deployment in real‑world, intermittently connected environments.
• Contribute to internal and external technical documentation.
• Collaborate with a cross‑functional team of software, hardware, quality assurance (QA), and power systems engineers; data scientists; and leadership.
• Provide high‑quality, in‑depth code and architecture reviews, implement new features, and provide technical leadership while coordinating with project management, QA, and other internal teams.
• Continually advocate for and implement process improvement and automation.
• Foster a culture of open communication, innovation, and continual improvement.
• Mentor other engineers using paired programming, code review, and collaborative test scenario design.

• 5+ years of professional experience including 3+ years of experience developing production software and systems, or a combination of educational and professional experience commensurate with this level of experience.
• Demonstrated ability to design and implement distributed systems utilizing microservices in a resource‑constrained environment (edge devices with limited memory, CPUs, GPU capacity, etc.).
• Extensive experience using Python, C/C++, Rust, and the Linux operating system.
• Experience with device layered security, i.e. encryption (PKI), disk partitioning, secure boot, OS kernel libraries, device drivers, OS processes/daemons.
• Data compression and schema management for device time series data.
• Experience implementing and maintaining CI/CD workflows (e.g., Git Hub Actions or Jenkins).
• Strong understanding of synchronous and asynchronous network communication, including REST APIs, gRPC, binary protocols, and distributed publish/subscribe messaging systems and protocols like MQTT and ZeroMQ.
• Strong written and oral communication skills, with a proven track record of working effectively both individually and as part of a team.

• Experience designing, building and deploying applications and reusable libraries based on the NVIDIA ML software stack on the Jetson Platform.
• Experience with system integration testing including HIL and SIL.
• Understanding of SQL/No
  
  SQL Database implementations (SQLite, Redis, Postgres, etc.).
• Well‑versed in Docker/containerization.
• Hands‑on knowledge of cloud platforms and services focused on IoT device management, security and OTA updates (AWS, Azure) preferably at the scale of millions of devices including managing release/versioning strategies and monitoring fleet‑wide performance metrics.
• Experience with control systems applications (e.g. industrial processes, manufacturing, commercial buildings, SCADA) and/or power systems.
• Experience working with software and systems deployed in modern data center environments, including telemetry ingestion, rack‑level integration, and coordination with orchestration platforms.
• Experience with Shell scripting, helm charts, Ansible, and Prometheus tools.

$120,000 to $150,000 base compensation depending on experience and stock options. Salary will be commensurate with an individual’s skills, training, years of experience, and in line with internal compensation bands.

This position is based onsite at our company headquarters in…