Job details

Founding Full Stack Engineer - NomadicML

About Us:

Mustafa and Varun met at Harvard, where they both did research in the intersection of computation and evaluations. Between them, they have authored multiple published papers in the machine learning domain and hold numerous patents and awards. Drawing on their experiences as tech leads at Snowflake and Lyft, they founded NomadicML to solve a critical industry challenge: bridging the performance gap between model development and production deployment.

At NomadicML, we leverage advanced techniques—such as retrieval-augmented generation, adaptive fine-tuning, and compute-accelerated inference—to significantly improve machine learning models in domains like video generation, healthcare, and autonomous systems. Backed by Pear VC and BAG VC, early investors in Doordash, Affinity, and other top Silicon Valley companies, we’re committed to building cutting-edge infrastructure that helps teams realize the full potential of their ML deployments.

About the Role:

As a Founding Software Engineer, you will build and maintain the end-to-end infrastructure that makes our real-time, continuously adapting ML platform possible. You’ll architect and optimize our data ingestion pipelines—integrating Kafka and Flink for streaming—as well as robust APIs that facilitate seamless communication between front-end interfaces, ML pipelines, and underlying storage systems. By establishing strong observability practices, CI/CD tooling, and highly scalable backend services, you’ll ensure that our platform can handle dynamic loads and growing complexity without sacrificing latency or reliability.

You’ll also collaborate on research-driven experimentation. Working closely with our team, you’ll support the rapid evaluation of new models and techniques. Your backend and full-stack capabilities will create an environment where novel ML approaches can be seamlessly tested, integrated, and iterated upon. Whether it’s spinning up GPU-accelerated instances for fast inference, fine-tuning backend APIs for new embedding strategies, or streamlining data flows for model comparison experiments, your role will be pivotal in turning research insights into production-ready features.

Key Responsibilities:

Design and implement scalable ingestion pipelines using Kafka and Flink to handle real-time text, video, and metadata streams.
Build and maintain backend APIs that interface smoothly with ML components, front-end dashboards, and storage layers.
Integrate observability and CI/CD practices to enable quick iteration, safe rollouts, and immediate feedback loops.
Support the research and experimentation of new ML models, ensuring that backend services and APIs can adapt rapidly to novel requirements.
Collaborate with ML Engineers to ensure that infrastructure, tooling, and workflows accelerate model evolution and performance tuning.

Must Haves:

Strong programming skills (Python / Javascript), and experience building backend APIs and services
Prior experience setting up CI/CD pipelines for ML integration
Understanding of ML workflow management and scaling model serving infrastructure

Nice to Haves:

Familiarity with IaC (Docker, Kubernetes, Terraform) and observability tools (Grafana, Prometheus)
Experience integrating with GPU-accelerated platforms for low-latency inference
Familiarity with vector databases, embedding stores, and ML serving frameworks
Proficiency with distributed systems and streaming platforms (Apache, Confluent)

What We Offer:

Competitive compensation and equity
Apple Equipment
Health, dental, and vision insurance.
Opportunity to build foundational machine learning infrastructure from scratch and influence the product’s technical trajectory.
Primarily in-person at our San Francisco office with hybrid flexibility.

Average salary estimate

$140000 / YEARLY (est.)

min

max

$120000K

$160000K

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What You Should Know About Founding Full Stack Engineer - NomadicML, Pear VC

At NomadicML, we're on the cutting edge of machine learning technology, and we're looking for a Founding Full Stack Engineer to join our dynamic team in Austin, TX. Founded by academic innovators with rich backgrounds at top tech companies like Snowflake and Lyft, NomadicML aims to bridge the gap between model development and real-world applications. As our Founding Software Engineer, you will play a crucial role in building and maintaining the infrastructure that powers our continuously evolving ML platform. Imagine designing robust ingestion pipelines using Kafka and Flink to manage real-time data streams, and crafting backend APIs that connect seamlessly to front-end interfaces and backend storage. You’ll also implement CI/CD practices that enable rapid experimentation and rollouts, facilitating a culture of innovation and agility. This position offers you the unique opportunity to collaborate with top-tier talent in the field as you drive the evolution of our machine learning infrastructure. Whether you’re optimizing data flows for advanced model comparisons or establishing observability practices to enhance performance, your expertise will be vital in bringing groundbreaking ML solutions to life. Join us, and help set the stage for the future of machine learning as we advance into exciting new domains such as video generation and autonomous systems.

Frequently Asked Questions (FAQs) for Founding Full Stack Engineer - NomadicML Role at Pear VC

What are the key responsibilities of a Founding Full Stack Engineer at NomadicML?

As a Founding Full Stack Engineer at NomadicML, your key responsibilities include designing and implementing scalable ingestion pipelines utilizing Kafka and Flink, building robust backend APIs, integrating observability and CI/CD practices, and collaborating closely with ML engineers to ensure infrastructure supports rapid model experimentation. You’ll set the foundation for innovative machine learning applications, making an impactful contribution to the company’s vision.