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Lead Software Engineer for Edge and IoT Solutions

2 months ago

Providence, Rhode Island, United States Utilidata Full time
Job Overview

Utilidata is an innovative energy technology firm focused on transforming the grid-edge to maximize the potential of sustainable energy. Our cutting-edge software solutions enhance visibility at the grid's edge and streamline grid operations. We leverage our extensive expertise to develop new solutions that harness real-time data and artificial intelligence to facilitate the integration of clean energy and support an electrified transportation infrastructure.

We are expanding our engineering team and are in search of a Lead Software Engineer to spearhead the productionalization of our IoT platform, with a strong focus on the software that operates on edge IoT devices. This software encompasses machine learning, optimization algorithms, and components that support these functionalities, all of which must adhere to rigorous standards of performance, security, reliability, and accuracy.

Key Responsibilities
  • Design, propose, plan, implement, and test resource-constrained edge software using Python (and potentially lower-level languages such as Rust).
  • Establish and maintain CI/CD processes to facilitate development and deployment.
  • Contribute to both internal and external technical documentation.
  • Collaborate with a multidisciplinary team of software, hardware, quality assurance (QA), and power systems engineers, as well as data scientists and leadership.
  • Deliver high-quality, comprehensive code and architecture reviews, implement new features, and provide technical guidance while coordinating with project management, QA, and other internal teams.
  • Advocate for and implement process improvements and automation continuously.
  • Promote a culture of open communication, innovation, and ongoing improvement.
  • Mentor fellow engineers through paired programming, code reviews, and collaborative test scenario design.
Minimum Qualifications
  • 8+ years of professional experience, including 5+ years in developing production software and systems, or a combination of educational and professional experience that aligns with this level of expertise.
  • Proven ability to design and implement distributed systems utilizing microservices in resource-constrained environments (edge devices with limited memory, CPUs, GPU capacity, etc.).
  • Extensive experience with Python, C/C++, and the Linux operating system.
  • Familiarity with device-layered security, including encryption (PKI), disk partitioning, secure boot, OS kernel libraries, device drivers, and OS processes/daemons.
  • Expertise in Shell scripting, Helm charts, Ansible, and Prometheus tools.
  • Experience with data compression and schema management for device time series data.
  • Knowledge of industry protocols such as 2030.5, DNP3, Modbus, and OPC-UA.
  • Experience in implementing and maintaining CI/CD workflows (e.g., GitHub Actions or Jenkins).
  • Strong problem-solving and troubleshooting skills, with a commitment to creating elegant solutions to complex challenges.
  • Solid 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.
  • Hands-on experience with cloud platforms and services focused on IoT device management, security, and OTA updates (AWS, Azure), preferably at a scale of millions of devices.
  • Experience contributing to production codebases using a modern development process (git/GitHub flow with continuous integration, including code review, automated test execution, and code standards evaluation and reporting).
  • Strong written and verbal communication skills.
  • Demonstrated ability to transition seamlessly between individual and team-oriented work.
Enhanced Qualifications (Preferred)
  • Experience in 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.
  • Familiarity with simulation software and emulators.
  • Data engineering experience, including batch and stream processing, as well as data transformations.
  • Understanding of SQL/NoSQL database implementations (SQLite, Redis, Postgres, etc.).
  • Proficiency in Docker/containerization.
  • Experience implementing IoT solutions on AWS.
  • Familiarity with data science, machine learning, and/or software-based models and simulations of physical systems.
  • Broad knowledge of cloud platforms and services (AWS).
  • Experience with control systems applications (e.g., industrial processes, manufacturing, commercial buildings, SCADA) and/or power systems.
  • Experience in DevOps automation and cloud engineering.
Compensation

Salary Range: $135,000 to $165,000 based on experience.

Our Commitments

Utilidata values the diversity of our team and is committed to providing 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, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state, and local laws.

We are dedicated to:

  • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming, and respectful.
  • Empowering employees to solve problems and collaborate to make a difference.
  • Providing mentorship and growth opportunities as part of a collaborative team.
  • Offering a flexible work environment with flexible paid time off.
  • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k.