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Positron

Memory-first AI inference silicon for LLMs

Software Engineer Senior/Principal - Control Plane

Backend EngineeringUpdated on Nov 15
Full-timeRemote in USA

About the Job

Requirements

  • At least 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, including concurrent services, API design, testing, profiling, and operational debugging.
  • Maintain a current hands-on coding practice, writing and debugging production code rather than working only at the architecture or review level.
  • Proficiency in at least one additional systems-work language, 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.
  • 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.
  • 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.
  • Be currently authorized to work in the United States.

Responsibilities

  • Contribute to the architecture and evolution of system management services and APIs that control hardware state, resources, diagnostics, updates, and workloads.
  • Design, write, and review production Go, using C, C++, Python, or Bash at system boundaries where appropriate.
  • 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.
  • 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.
  • Expose diagnostics through platform APIs with persistent results, searchable reporting, and periodic archiving.
  • Build 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.
  • Profile system behavior, diagnose performance regressions, and drive root causes through to resolution.
  • Implement certificate management, role-based access control, pluggable authentication, and integrations with HSM-backed secret stores.
  • Build secure boot, signed-artifact, software and firmware update, and rollback workflows.
  • Secure model acquisition and sideloading with appropriate authentication, secret management, and status reporting.
  • Translate product and hardware roadmaps into software architecture, sequenced execution plans, and clear technical decisions.
  • Lead design and code reviews across software, firmware, hardware, and security boundaries.
  • Mentor engineers while remaining directly responsible for critical implementation and debugging work.
  • Own complex platform features end to end, define completion criteria, and carry them from architecture through implementation, integration, and production validation.
  • Apply AI-assisted tools to accelerate implementation, test generation, debugging, profiling, code review, and documentation while maintaining engineering rigor.
  • Support system assembly, bring-up, troubleshooting, and racking servers.
  • Produce architecture documents, test procedures, runbooks, and release notes, and take on related responsibilities as needed to help the team ship and support the product.

Desired Qualifications

  • 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.

About the Company

Positron

Memory-first AI inference silicon for LLMs

Positron develops memory-first AI inference silicon and systems to scale large-language-model serving. Its Atlas systems rely on commodity LPDDR5X memory rather than expensive HBM/CoWoS to boost bandwidth and capacity, enabling more efficient LLM deployment at hyperscale. The company’s next-generation Asimov silicon (tape-out planned for late 2026; production in 2027) pairs compute with very large memory per chip (roughly 288 GB to 2,304 GB) and is designed to be combined into Titan configurations (four to eight Asimov chips) for extremely large models and long context windows. Positron has already deployed Atlas systems in the cloud, including 50+ racks at Oracle Cloud Infrastructure and partnerships with Parasail, Jump Trading, and i3d.net. Its goal is to provide scalable, memory-rich AI inference hardware that lowers cost and increases throughput for serving large language models.

Company size
51-200
Company stage
Series C
Total funding
$1.2B
Headquarters
Reno, NV
Founded
2023

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