Senior ML Ops Engineer

Posted 22 Days Ago
Hiring Remotely in United States
Remote
Senior level
Artificial Intelligence • Software
The Role
As a Senior ML Ops Engineer, you'll build ML infrastructure, implement automated deployment, optimize model serving, and ensure production performance.
Summary Generated by Built In
About Quilter

At Quilter, we are helping electrical engineers save time and accomplish more by automating the tedious and time-consuming task of designing printed circuit boards (PCBs). Our small team is composed of experts in electrical engineering, electromagnetic simulation, ML/AI, and high-performance computing (HPC). We are inventing and leveraging novel techniques to solve the decades-old problem of automating circuit board design where today hundreds of billions of dollars are spent. We have raised $25 million in Series B funding from some of the very best and are charging full-speed toward our goal.

No matter where we come from, we're united by a common vision for the future and a core set of values we think will get us there:

  1. Focus on the mission

  2. Build great things that help humans

  3. Demonstrate grit

  4. Never stop learning

  5. Pursue excellence

We’re looking for a Senior ML Ops Engineer to join Quilter’s ML Team and help us build the software platform behind the future of circuit board design. We are a team of generalists who pride ourselves on solving new challenges and always learning. As one of our early engineers, you’ll have massive ownership and influence over the direction of our product, architecture, and team culture.

This role is ideal for someone who thrives in high-ownership environments, loves solving complex technical problems, and is excited by the idea of bridging the worlds of software and hardware development.

What Youʼll Do
  • Build and maintain ML training and inference infrastructure

  • Implement automated model deployment and monitoring systems

  • Optimize model serving for low-latency PCB layout generation

  • Scale training infrastructure for large geometric datasets

  • Ensure reliability and performance of production ML systems

What Weʼre Looking For
  • Strong experience with ML pipeline orchestration (Kubeflow, MLflow, or similar platforms)

  • Expertise in ML production systems (model serving, versioning, monitoring, CI/CD for ML)

  • Experience with distributed training (multi-GPU, multi-node) and hardware acceleration (CUDA, TensorRT, or similar)

  • Familiarity with cloud platforms (AWS, GCP, or Azure) for compute, storage, and ML services

  • Strong communication and collaboration skills for working with cross-functional teams

Nice to Have
  • Kubernetes familiarity (production deployments, scaling, monitoring)

  • Knowledge of infrastructure as code (Terraform, Helm, or similar)

  • Experience with containerization (Docker, container optimization for ML workloads)

  • Solid software engineering and DevOps background (containers, CI/CD pipelines, infrastructure automation)

  • Background in monitoring and observability for ML systems (model performance tracking, drift detection)

  • Cloud platform experience (AWS, GCP, or Azure ML services and compute)

Please note: We are an equal opportunity employer. At this time, we are focused on hiring primarily within the US, with occasional exception to accommodate exceptional talent.

What we offer:
  • Interesting and challenging work

  • Competitive salary and equity benefits

  • Health, dental, and vision insurance

  • Regular team events and offsites (~2x / year)

  • Unlimited paid time off

  • Paid parental leave

Want to learn more about Quilter, our vision, and our investors? Visit our About page and visit our Blog.

Top Skills

AWS
Azure
Ci/Cd
Cuda
Docker
GCP
Helm
Kubeflow
Kubernetes
Ml Pipeline Orchestration
Mlflow
Model Serving
Multi-Gpu
Tensorrt
Terraform
Am I A Good Fit?
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The Company
Los Angeles, CA
29 Employees
Year Founded: 2019

What We Do

At Quilter, we believe that the creativity and passion of hardware engineers for tackling real-world challenges should not bAt Quilter, we believe that the creativity and passion of hardware engineers for tackling real-world challenges should not be bogged down with the tedium of repeating solved problems.

We are building the next generation of tooling for electrical engineers which enables going from concept to physical design at the click of a button. Using physics-driven generative design we enable the reliable conversion of circuit schematics into PCB designs.

Quilter will do for electronics what the compiler did for softwaree bogged down with the tedium of repeating solved problems.

We are building the next generation of tooling for electrical engineers which enables going from concept to physical design at the click of a button. Using physics-driven generative design we enable the reliable conversion of circuit schematics into PCB designs.

Quilter will do for electronics what the compiler did for software

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