Senior Software Engineer, On Device

Utilidata is a fast-growing NVIDIA-backed edge AI company enabling greater visibility and control of power utilization in energy-intensive infrastructure, like the electric grid and data centers.

Karman, the company’s distributed AI platform powered by a custom NVIDIA module, is transforming the way utility companies operate the grid edge and will enable data centers to unlock more compute for the same provisioned power.

We are expanding our engineering team and looking for a Senior Software Engineer to lead the productionalization of our IoT platform, with a primary emphasis on the software that runs on edge IoT devices.

This edge software includes machine learning, optimization algorithms, and components that host these capabilities that must meet high standards of performance, security, reliability, and accuracy.

These individuals will be fully engaged in the software development process from architecture and planning all the way through deployment, and must have broad and deep knowledge of the state of the evolving software.

We are looking for candidates who are mission-driven, collaborative, adaptive and experienced in designing, writing, testing, and debugging distributed enterprise software at scale.

Ideal candidates will possess deep knowledge of Python, Linux, continuous integration and deployment (CI / CD), and have a proven track record in designing and developing successful enterprise software.

Responsibilities 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 Minimum Qualifications  8+ years of professional experience including 5+ 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., GitHub 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 Willingness to travel up to 10% of time Enhanced Qualifications (Nice to Have)  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 / NoSQL 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 in the scale of million 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 Salary Range :

• $140,000 to $170,000 base compensation, plus a 10% annual bonus target and stock options.

Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands.  Location :

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