Staff DevOps/MLOps Engineer, Sonatus
$168.5-232k
+ Stock option plan
Office located in Sunnyvale, CA
Cloud-based solutions for software-defined vehicles
Be an early applicant
Cloud-based solutions for software-defined vehicles
101-200 employees
Be an early applicant
$168.5-232k
+ Stock option plan
Office located in Sunnyvale, CA
101-200 employees
Company mission
To accelerate automotive innovation
Role
Who you are
- A seasoned engineer with 8+ years of experience building and scaling production-grade cloud services and systems, with a strong focus on DevOps, MLOps, and/or SRE
- A "systems thinker" with a demonstrated ability to architect end-to-end solutions and a deep understanding of the full CI/CD pipeline and machine learning lifecycle
- Deep proficiency in Python and Infrastructure as Code (e.g., Terraform, Pulumi, etc.)
- Experience with MLOps tools (e.g., MLflow, Kubeflow, Vertex AI) and production monitoring frameworks
- Enforce reproducibility, approvals, audit trails, PII handling, model cards, and policy/compliance (e.g., privacy, evals, guardrails)
- Experience with robust ML deployment systems (e.g., Kubeflow, MLflow, model servers like BentoML or TensorFlow Serving)
- Hands-on experience with public cloud platforms (GCP, AWS, and/or Azure) and containerization/orchestration (Docker, Kubernetes)
- Package, version, and deploy software modules and AI models (batch & online) with blue/green or canary rollouts; build feature & model registries, and automate retraining
- Experience with Pytorch, vLLMs, and GPUs a plus
- Experience with tracking Modes and Agentic drift is a plus
- Experience with tuning serving stacks (GPU/CPU utilization, batching, quantization)
- Direct experience building and operationalizing systems for LLMs, especially RAG pipelines, is a plus
- Experience with vector databases (e.g., Pinecone, Weaviate) and embedding management from a deployment and scaling perspective is a plus
What the job involves
- We are seeking a highly experienced and strategic Staff DevOps & MLOps Engineer to architect, build, and scale our end-to-end DevOps and MLOps platform
- In this role, you will be responsible for the full cloud CI/CD pipeline, cloud infrastructure management, and machine learning model lifecycle, from implementing the MLOps framework that enables models to move from experimentation to production with velocity and reliability, to managing the serving infrastructure
- You'll leverage deep expertise in DevOps and MLOps and Site Reliability Engineering (SRE) to make critical decisions that span model training, serving, and monitoring. This is a key leadership position for a hands-on engineer who will define our model versioning, production observability, and infrastructure-as-code best practices
- Design and build the foundational, end-to-end DevOps and MLOps platform for our Generative AI systems, making critical decisions that span large language model-based systems evaluation, monitoring, and deployment
- Implement the full DevOps and MLOps framework. You will build the CI/CD/CT (Continuous Integration/Delivery/Training) automation that takes models from experiment to production with velocity and reliability
- Deploy, scale, and optimize our model serving infrastructure. You will manage GPU/NPU resources, minimize inference latency, and build robust monitoring to ensure our AI is always fast, accurate, and cost-effective
- Create a single, cohesive set of best practices for the entire AI lifecycle. Your work will define how we handle model versioning, infrastructure as code, and production observability in one seamless system
Our take
Software-defined vehicles represent the biggest innovation in automobiles for decades, but there are large obstacles in the way of their growth. The software that defines such vehicles requires over-the-air (OTA) updates and other forms of maintenance, which can quickly become a time-consuming and resource-intensive process.
Sonatus develops cloud-based solutions for software-defined vehicles, providing a platform called Digital Dynamics that empowers automakers to harness vehicle data, add feature updates, diagnose problems, and maintain vehicle infrastructure wirelessly and in real time. The company achieves its flexibility through cloud-empowered data infrastructure, no-code software solutions, and working closely with clients.
Whilst the company faces competition from other IoT vehicle software companies, Sonatus shows great potential to compete through its all-in-one approach. This has earned it impressive funding, which supports further development and the increase of production volume, as well as the company's expansion into the Japanese market.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (2 rounds)
Dec 2022
$75m
SERIES A
Jul 2021
$35m
SERIES A
Total funding: $110m
Company benefits
- Stock option program
- Flexible working arrangements
- Unlimited PTO
- Comprehensive benefits with generous allowance
- Free in-office food & snacks!
Company HQ
Sunnyvale, CA
Leadership
Jeffrey Chou
(Co-Founder & CEO)Experience as Senior Director of Engineering for Nuova Systems. Founder of Diamanti, where they were CEO and now serve as a Board Member.
Yu Fang
(Co-Founder & CTO/CPO)Head of Mobile Engineering for NAUTO from 2016 to 2018. Experience as CTO of CARDFREE.
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