Software Engineer, On Device

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

Requirements

• 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., 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
• 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

Qualifications

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