Positron AI
Software Engineer, Control Plane (Senior/Principal)
- Compensation
- Not disclosed
- Location
- Remote (United States)
- Work setup
- Remote
- Seniority
- Principal
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 5+ years of professional software engineering experience, including technical ownership of production systems software or infrastructure.
- A background in Electrical Engineering, Computer Engineering, or Computer Science, through a relevant degree or equivalent practical experience with digital systems and board-level interfaces.
- Strong production experience with Go, spanning concurrent services, API design, testing, profiling, and operational debugging.
- A current hands-on coding practice, writing and debugging production code rather than operating only at the architecture or review level.
- Proficiency in at least one additional language used in systems work, such as C, C++, Python, or Bash.
- Broad technical knowledge across web applications, distributed services, Linux systems, device interfaces, and low-level protocols.
- Deep Linux systems knowledge, including processes, networking, storage, resource management, services, and system diagnostics.
- Hands-on experience building software that interfaces with hardware through drivers, firmware APIs, management controllers, PCIe, I2C, or comparable boundaries.
- Demonstrated ability to design reliable distributed systems, control planes, or workload-management services.
- Strong debugging and root-cause analysis skills across application, operating system, firmware, and hardware boundaries.
- Experience designing security into platform software, including authentication, authorization, certificates, secrets, and update integrity.
- A track record of carrying substantial features from architecture through implementation, integration, testing, and production operation.
- Demonstrated technical leadership through architecture documents, design reviews, code reviews, mentoring, and cross-functional execution.
Nice to have
- Experience with BMC, IPMI, Redfish, embedded Linux, or comparable hardware management software.
- Familiarity with workload orchestration and service discovery systems such as Consul.
- Working knowledge of PKI, secure boot, HSMs, artifact signing, and software or firmware update systems.
- Exposure to observability systems such as OpenTelemetry, Prometheus, Grafana, or equivalent.
- Experience with hardware accelerators, high-performance computing, or large-scale AI infrastructure.
- Broad-scope ownership experience outside a traditional engineering role, such as leading a small team end to end, bootstrapping a project, or running non-trivial self-hosted infrastructure.
Full description
Role Overview
We are looking for a Senior or Principal Software Engineer to contribute to control-plane architecture and hands-on development for Positron AI inference systems. You will write software that connects low-level hardware capabilities to system management, diagnostics, security, and firmware updates. Go is our primary implementation language, with C, C++, Python, Bash, and other languages used where they fit the system boundary.
This role can fit a senior/principal software engineer or systems architect who remains a strong, current coder and wants ownership grounded in production implementation. You will set technical direction, define stable secure interfaces, and write, review, profile, and debug production code alongside the team.
The scope spans a wide swath of the platform. You will own substantial features end to end, from problem definition and architecture through implementation, integration, testing, and production validation.
Key Responsibilities
Platform Architecture and Implementation
- Contribute to the architecture and evolution of the system management services and APIs that control hardware state, resources, diagnostics, updates, and workloads.
- Design, write, and review production Go, reaching for C, C++, Python, or Bash at the boundaries where they are the right tools.
- Work across the full stack, from web applications and management APIs through Linux services, hardware interfaces, and low-level protocols.
- Refactor critical subsystems to improve modularity, testability, and fault isolation, and to support future hardware generations.
- Define stable interfaces and data models for orchestration, diagnostics, management tooling, and customer-facing workflows.
Hardware and System Integration
- Partner with internal and external hardware, firmware, and systems engineers to turn low-level capabilities into reliable platform services.
- Debug failures at the board and system level across CPU, memory, drives, USB, I2C, SMBus, PCIe, and in-system accelerators, including FPGAs.
- Build safe control paths for reboot state, accelerator reset and recovery, hardware health, and resource allocation.
- Integrate management-controller capabilities, hardware counters, and telemetry into platform APIs and operational workflows.
Diagnostics, Observability, and Reliability
- Expose diagnostics through platform APIs with persistent results, searchable reporting, and periodic archiving.
- Build comprehensive metrics, logs, and alerts with configurable sinks, including OpenTelemetry-compatible systems.
- Integrate external health probes so failed hardware or workloads can be isolated, rescheduled, and recovered safely.