What You’ll Do

• Own and evolve the deployment lifecycle for our perception systems across edge and cloud environments.
• Design and manage highly available ML serving infrastructure, ensuring high performance, low-latency inference, and reliability in production.
• Build resilient CI/CD pipelines for testing and pushing system updates with confidence and comprehensive fleet observability.
• Implement and manage remote system monitoring, alerting (e.g., Prometheus, Grafana, Sentry), and debugging systems to ensure operational excellence, focusing on fleet health metrics (e.g., uptime, resource utilization, inference latency).
• Work closely with perception and backend teams to design deployable systems that are robust in the real world.
• Integrate and maintain experiment tracking and model management platforms (e.g., Weights & Biases, MLflow) to streamline model lineage, performance comparison, and versioning from research to production.
• Contribute to security policy design and device authentication/attestation infrastructure for fleet safety.
• Build and maintain internal tooling and CLI utilities to streamline the end-to-end development-to-deployment workflow, empowering the broader engineering team to ship perception systems with high velocity and minimal friction.

What You Bring

• 3-5+ years experience in DevOps, deployment engineering, or site reliability, ideally with production ML systems or robotics.
• Deep operational experience with Linux system administration, system packaging (e.g., Deb/RPM), and configuration management tools (e.g., Ansible, SaltStack, Chef).
• Strong experience with ML deployment/serving frameworks and infrastructure (e.g., PyTorch Serve, custom C++ inference services).
• Comfortable working in Linux-heavy environments with advanced shell scripting and strong knowledge of operating system internals.
• Hands-on experience with networking fundamentals, including TCP/IP, firewalls, NAT traversal, and VPNs.
• Prior experience with managing large-scale edge fleets, including over-the-air (OTA) updates and blue-green deployment strategies.
• A proven track record of developing internal developer tools or CLI applications that automate complex infrastructure tasks and improve overall team productivity.

Nice to Have

• Experience deploying AI/ML inference pipelines on bare-metal or virtualized edge hardware (e.g., using GStreamer/Deepstream pipelines, custom executables).
• Expertise in machine learning inference engineering, including quantization and compilation (e.g., using ONNX Runtime, TensorRT), for efficient deployment to various edge hardware targets (e.g., NVIDIA Jetson, custom ARM SoCs).
• Familiarity with writing or debugging high-performance, low-latency ML inference services in C++.
• Exposure to remote logging, log ingestion, and distributed telemetry aggregation.
• Previous experience in early-stage startups or fast-paced hardware/software integration environments.

Why Sauron

You’ll be joining a deeply technical team obsessed with building real-world systems that make a tangible difference in people’s lives. We move quickly, iterate relentlessly, and ship with urgency - all while holding a deep respect for software craftsmanship and system reliability. If you're looking to solve challenging problems and own major parts of the deployment stack for a category-defining product, we want to talk.

We Value

1. The Power of "We": “Align, then Accelerate”

• We celebrate as a team and troubleshoot as a team.
• The goal is the mission, not the credit.

2. High Challenge, Low Ego: "Respect the person, debate the idea."

• Be ruthless with problems, but kind to people.
• Raise the bar, lower the shield

3. Speak up: "Silence is a setback."

• Your perspective is a requirement, not a suggestion.
• Speak the hard truths early so we can fix them fast.

4. Integrity in Motion: "Own the outcome, not just the task."

• Do what you say you’ll do.
• If it breaks, fix it. If it works, make it better.

5. Humanity at the Core: "Relationships over transactions."

• Earn trust through empathy and consistency.
• Anticipate needs before they become requests.

The compensation range for this position is $175-225k base + equity + benefits.

We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.

Sauron is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law.

Please review our CCPA policies here.