Senior Software Engineer, On Device

Reposted 4 Days Ago
Hiring Remotely in United States
Remote
140K-170K Annually
Senior level
Artificial Intelligence • Software • Energy • Utilities
The Role
Lead the productionalization of IoT edge software, focusing on machine learning and optimization for resource-constrained environments, while integrating CI/CD processes and overseeing code quality.
Summary Generated by Built In
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: This position can be performed remotely from anywhere in the United States. Preference will be given to candidates located within commuting distance to our lab in Ann Arbor, MI.
Our Commitments:
Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws.
We are committed to:
  • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful
  • Empowering employees to solve problems and work together to make a difference
  • Providing mentorship and growth opportunities as part of a collaborative team
  • A flexible work environment with flexible paid time off
  • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

Top Skills

AWS
Azure
C/C++
Ci/Cd
Docker
Linux
Python
Rust
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The Company
Providence, RI
77 Employees
Year Founded: 2012

What We Do

Utilidata is an AI-powered technology company that is working with NVIDIA to create the next generation of AI-embedded infrastructure, starting with the electric grid. Karman, our distributed AI platform, operates on our custom NVIDIA module, makes data available for accelerated computing at the edge, and trains AI models locally.

Karman is embedded in grid devices - starting with smart meters - to transform the way utility companies operate. As the electric grid becomes more complex with the rapid increase of electric vehicles, distributed solar, batteries, heat pumps and extreme weather, utilities need real-time visibility of grid conditions and dynamic, software-defined infrastructure. Karman provides real-time visibility and AI at the grid edge so utilities can better utilize customer energy resources, reduce power outages, and enable quicker storm recovery.

We are a mission-driven, collaborative, and adaptive team working to do what’s right, even when it’s hard. With backgrounds in electric engineering, power systems engineering, software engineering, data science, and energy policy, we bring a unique perspective on the solutions the energy industry needs.

We are committed to ensuring a diverse, inclusive, and flexible workplace where employees are provided mentorship and growth opportunities and are empowered to solve problems as part of a collaborative team.

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