Senior Software Engineer - Data Engine
Join Applied Intuition as a Senior Software Engineer to build data engines for machine learning models in a collaborative environment.
Posted by employer 1 day ago
First seen on Joblaze 7 hours ago
Last verified on the company career page 7 hours ago
Skills & Technologies
What you'll build
- Construct optimized data pipelines to run ML models
- Evolve data engine architecture to scale high-fidelity labels
- Integrate foundation models for data automation tasks
- Leverage software-in-the-loop and hardware-in-the-loop testing
- Interact with DoD customers to understand use cases
Must have
- 5+ years of relevant work experience
- Familiarity with modern ML infrastructure
- Created or worked on microservices and/or databases
- U.S. citizenship and eligibility for security clearance
Nice to have
- Full-stack experience with React, TypeScript, Python, Golang
- Experience with Docker, Kubernetes, Opensearch, and PostgreSQL
- Direct experience with foundation models for data automation
- Background in autonomous driving or robotics perception
- Experience with active learning or human-in-the-loop ML systems
Practical constraints
- In-office work 5 days a week
AI in the day-to-day
We integrate foundation models to automate and enhance labeling, quality assurance, and data discovery.
Requirements
- Experience
- 5+ years
- Visa
- No sponsorship (stated in posting)
Not disclosed in this posting: compensation.
Benefits
Joblaze summary
In this role, the Senior Software Engineer on the Axion Data team focuses on developing and optimizing data pipelines for machine learning models, particularly in the context of edge applications and cloud data engines. Key skills include experience with modern ML infrastructure, microservices, and familiarity with large-scale GPU jobs, alongside a background in data-centric AI. This position is ideal for someone with over five years of relevant experience who is eager to take ownership in a product team, particularly those with a background in autonomous systems or robotics.
Joblaze insights
- Listed today — first seen on Joblaze September 23, 2026. Last confirmed on Applied Intuition's careers page September 23, 2026.
- Python appears in 82.6% of 213 comparable senior data engineering roles in United States; Machine Learning appears in 0.5% of 213 comparable senior data engineering roles in United States.
Quick facts
- Is the Senior Software Engineer - Data Engine role remote?
- No — this is an on-site role in Sunnyvale, California, United States.
- How much experience is required?
- At least 5 years of relevant experience for this Senior Software Engineer - Data Engine role.
- Where is the role based?
- Applied Intuition is hiring for this position in Sunnyvale, California, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Docker, Golang, Kubernetes, MLOps, Machine Learning, PostgreSQL.
- What seniority level is this role?
- Applied Intuition targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Software Engineer - Data Engine role at Applied Intuition.
From the original posting
About the role
The Axion Data team at Applied Intuition is building the data engine to train perception models. We build the means to run models at the edge such as Automatic Target Recognition (ATR) models, then backhaul data to our cloud pipeline that ingests and manages this data to enable the continual improvement of these models.
As a data engineer experienced in machine learning, you will be responsible for both our edge application which runs perception stacks and our cloud data engine which ingests video data to run the next iteration of the model before we deploy it back down to the edge. This includes optimizing our ability to run these models on both the edge and the cloud, as well as building MLOps tooling to gain insight and visibility into the pipeline for our stakeholders.
At Applied Intuition, you will:
Construct optimized data pipelines to run ML models
Evolve our data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles
Integrate foundation models (LLMs, VLMs, and multimodal models) to automate and enhance labeling, quality assurance, and data discovery
Leverage software-in-the-loop and hardware-in-the-loop testing
Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience
We're looking for someone who has:
5+ years of relevant work experience
Familiarity with modern ML infrastructure, data-centric AI approaches and running large-scale jobs on GPUs
Created or worked on microservices and/or databases for data-oriented software
A hunger to learn and grow into a position of ownership and impact on a new product team
U.S. citizenship (legally required) and eligibility to obtain a security clearance
Nice to have:
Full-stack experience React, TypeScript Python, Golang or similar
Experience with Docker, Kubernetes, Opensearch and Postgres
Direct experience with foundation models, including LLMs and VLMs, for data automation tasks
Background in autonomous driving or robotics perception
Experience with active learning, auto-labeling, or human-in-the-loop ML systems
Standard company text repeated across Applied Intuition's postings is omitted here.