Jobs in the United States

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Added 2 mins ago
IT Principal Application Security Engineer (Must Reside in Texas)
Randolph-Brooks Federal Credit Union
United States
All applicants must reside within the state of Texas and have the capability of performing all of the work from their home in Texas · To successfully work from home, employees must have access to a minimum internet connection as noted by RBFCU
Added 2 mins ago
IT Principal SOC Engineer (Must Reside in Texas)
Randolph-Brooks Federal Credit Union
United States
All applicants must reside within the state of Texas and have the capability of performing all of the work from their home in Texas · To successfully work from home, employees must have access to a minimum internet connection as noted by RBFCU
Added 3 mins ago
Head of Data Engineering
Texas Instruments
Dallas, TX
Texas Instruments is seeking an experienced and visionary Head of Data Engineering to lead the strategy, architecture, engineering, and delivery of enterprise data capabilities across the…
Added 3 mins ago
Equipment Engineer, MTC Clean
Micron Technology, Inc.
Boise, ID
Micron Technology is seeking an Equipment Support Clean Equipment Engineer to support advanced photomask manufacturing within the Mask Technology Center (MTC). This hands-on equipment…
Added 5 mins ago
Principal Engineer, FPGA Architecture
Samsung Semiconductor
Folsom, CA
Integrate prototypes with host software, servers, and network equipment
Added 5 mins ago
Staff Security Engineer, Product Security
Flexport
San Francisco, CA
Lead security engineering reviews for the highest-risk product features, and set the bar for what "good" looks like in reviews you don't personally run.
Added 5 mins ago
Staff Security Engineer, Product Security
Flexport
Remote, United States
Lead security engineering reviews for the highest-risk product features, and set the bar for what "good" looks like in reviews you don't personally run.
Added 5 mins ago
Security Engineer, Product Security
Flexport
Remote, United States
Lead security engineering reviews for the highest-risk product features, and set the bar for what "good" looks like in reviews you don't personally run.
Added 5 mins ago
Security Engineer, Product Security
Flexport
San Francisco, CA
Lead security engineering reviews for the highest-risk product features, and set the bar for what "good" looks like in reviews you don't personally run.
Added 7 mins ago
Engineer, Tooling-CNC Programming
GKN Aerospace Careers
Garden Grove, CA
Lead or support root-cause analysis for recurring programming-related losses and implement verified corrective actions within authorized scope.
Added 9 mins ago
Pharmaceutical Informaticist Analyst
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Remote, United States
…system. The team member must possess in-depth knowledge of software functionality as well as pharmacy workflows and must be able to quickly gain knowledge of state and federal requirements.…
Added 9 mins ago
Senior Engineer Lead
MillerKnoll, Inc.
Zeeland, MI
As a Senior Manufacturing Engineer - Lead, you'll independently develop and apply engineering theories and concepts to assignments in support of business objectives and provide engineering…
Added 15 mins ago
Technical Product Owner
Meijer Great Lakes LP
MI
Lead backlog refinement, iteration planning, system demos, release planning, and other SAFe Agile ceremonies; provide facilitation when needed to keep cross-functional delivery moving.
Added 15 mins ago
Software Engineer - Machine Learning
Garmin International, Inc.
Olathe, KS
May serve as a Lead Software Engineer for complex software development project designs and/or reviews architected modules and software systems supporting new technology or improving…
Added 19 mins ago
Physical AI Senior Engineer
Toyota
Georgetown, KY
Toyota’s Manufacturing Innovation & Transformation (MIT) – Manufacturing Center of Excellence is looking for a passionate and highly motivated Physical AI Senior Engineer.
Added 19 mins ago
TB
Lead Security Engineer - Threat Modeling
Truist Bank
Charlotte, NC · Atlanta, GA · Greensboro, NC · Orlando, FL · Raleigh, NC · Richmond, VA
- $160,000 to $195,000 USD / year
Extensive experience in software development lifecycle security practices.
Added 20 mins ago
Solution Architect, Agent & Software Testing
Tonic AI
Remote, United States
…problem: their engineers need realistic data to build and test software, and they can’t use production data to do…
Added 23 mins ago
Controls Systems Engineering Leader
Johnson Controls Inc.
United States
In this role, you will lead day-to-day systems engineering activity, coordinate resources across multiple teams, and serve as the regional subject matter expert in application engineering.…
Added 23 mins ago
Automation Project Engineer
Michelin North America
LOUISVILLE, KY
Michelin has an immediate opening for an Automation Project Engineer at our Synthetic Rubber Plant in Louisville, KY. In this role, you will lead the automation and controls scope of…
Added 25 mins ago
TT
Senior Forward Deployed Engineer, Operate
True Talent Solutions Partners
New York, NY
- $170,000 to $205,000 USD / year
…systems, providers, and life sciences organizations. You will lead technical delivery from early client discussions through implementation and ongoing support, while bringing field insights…
Added 28 mins ago
Design Services Principal Engineer
Theragenics Corp
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The Principal Research and Development Engineer is a senior technical and hands-on role responsible for solving complex engineering problems and creating advanced research, modeling,…
Added 29 mins ago
Solutions Engineer (AI/ML) - South East US Region
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Remote, United States
As a Solutions Engineer, at Buzz Solutions, you will play a pivotal role in driving the adoption of our AI-powered solutions, PowerAI and PowerGUARD, within the electric utility sector.…
Added 29 mins ago
Staff SW QA Engineer
DexCom Inc
Remote, United States
You will lead the effective application, compliance, and continuous improvement of software development and V&V processes, including: Risk Management, Software Design Controls for Class…
Added 37 mins ago
IG
Passive Safety Integration Engineer
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Strong knowledge of vehicle architecture, vehicle safety systems, diagnostics, functional safety, restraints control modules, and hardware/software integration.
Added 38 mins ago
Design - Engineer III, Process-SS
IPS-Integrated Project Services
UNAVAILABLE
Modifies reports, specifications, drawings (PFD’s and P&ID’s), construction schedules, environmental impact studies and designs to scope of the project as directed by the Lead Engineer.

Circuit

Staff Engineer, Core ML

Austin, TX, United States

Apply on jobs.lever.co About employer

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Job details

Posting language: English
Posted: Nov 10, 2026

Original job description

About Circuit

Circuit is the AI execution layer for the physical economy.

Industrial and manufacturing enterprises run on expertise: the hard-won knowledge of how complex products are engineered, configured, sold, and supported. That expertise is scarce, slow to transfer, and walking out the door as a generation of experts retires. It lives in PDFs, spreadsheets, and the heads of a few people, and the hardest technical decisions wait on whoever happens to know.

Circuit puts expert judgment in everyone's hands. We capture how the best people make critical technical decisions and turn it into agents that do the judgment-heavy work, so anyone, regardless of skill level, can make the right call, from quote to install and support, with the accuracy these environments demand.

Circuit is built by operators. Our leadership team has built and scaled real industrial companies, and we are already live in production with category-leading manufacturers. We are not bolting AI onto an old playbook. We are building the layer that runs the last mile of how the physical economy executes.

The Role

As a Staff Engineer, Core ML at Circuit, you’ll join Product Engineering and own the ML capabilities at the center of our product: understanding complex technical documents, and keeping the long-running agents that work with them reliable.

Our customers’ knowledge lives in blueprints, CAD files, spec sheets, and scanned PDFs that mix text, vector geometry, and raster content. You’ll build the models and algorithms that turn those documents into structured information, and the tools that let our agents use it. You’ll also improve the agent loop itself: how agents plan, choose tools, recover from failure, and behave consistently from one run to the next.

Most of your time goes into the algorithms and models behind the product rather than individual customer projects. Product engineers and FDEs work closest to customers and bring you the failure patterns they see. You analyze how our models and agents perform, decide where better algorithms, data, or training will pay off, and set the evaluation bar that tells us whether a change worked. You’ll join customer conversations when a problem needs your depth.

This is an applied role, not a research one. You’ll adapt and combine proven approaches, measure them against real customer data, and ship them. Your teammates range from full-stack engineers to applied ML researchers, and success is measured by what reaches production, not papers published.

This position is based in Austin, TX, onsite 3 days/week.

What Is in Production Today

Our core product includes a long-running agent loop written in Go. Frontier model APIs drive the loop, while specialized tools handle retrieval, extraction, and agent execution. These tools let us solve industrial problems that general-purpose agent harnesses struggle with.

We use a combination of open-source and internally fine-tuned models, particularly vision-language models (VLMs), hosted on KServe. Our customer data includes technical documents, high-resolution blueprints, raster images, vector geometry, CAD, and structured data.

Key Responsibilities

• Develop algorithms that extract meaning from complex technical documents containing text, vector geometry, CAD, and raster content, spanning vision models, geometric algorithms, and language understanding.

• Build those document understanding capabilities into the tools that power Circuit's long-running agentic systems.

• Improve the reliability, determinism, and effectiveness of agentic systems, including agent planning, tool use, and failure recovery.

• Build and extend training and evaluation pipelines for our core models and agents, so every change is measured against real customer data before it ships.

• Analyze how our algorithms perform in production, find where and why they fail, and turn that into the next improvement.

• Find gaps and bias in our datasets, and close them through curation, labeling, or synthetic data.

• Track new research and techniques, and make the promising ones work in production.

• Mentor and elevate other engineers on the team.

Examples of Work You Could Own

• Fix a failure class. Trace why extraction breaks on a class of drawings, such as dense electrical schematics, fix it with better data, a better model, or a better algorithm, and show the lift in the evals.

• Fine-tune a specialized model. Fine-tune a LoRA on an in-house model to extract a specialized artifact from a high-resolution blueprint page.

• Bring a new algorithm to production. Take an approach from a recent paper, such as a new layout or table-structure model, prove it beats what we run today on our data, and make it fast and reliable enough to ship.

• Improve retrieval. Improve retrieval quality, relevance, or latency across document types and customers.

• Make agents more deterministic. Find why the same task produces different results from run to run, and change the tools or the loop so it stops.

Experience

We want someone who has shipped ML-powered software to production, can adapt proven approaches and evaluate alternatives from other production ML systems, and measures whether a change works for customers. Ideally, you have deep expertise and strong technical opinions in at least one of these areas:

• Agent harness design and execution

• Document extraction and structured data understanding

• High-resolution computer vision

• VLM fine-tuning and inference

• Retrieval systems, including embeddings and reranking

• Agent evaluation and optimization

You do not need to be an expert in every area. Strong software engineering fundamentals and the ability to lead technical decisions matter more than familiarity with our exact stack. Beyond that, we look for:

• Hands-on AI/ML engineering experience, with a track record of shipping models in production.

• Experience training and fine-tuning models for production, including the datasets and pipelines behind them.

• Experience building and operating ML evaluation pipelines, including datasets, metrics, and regression testing for models and agents in production.

• Experience profiling data distributions, identifying gaps and bias, and curating high-quality datasets for training and evaluation.

• Experience with vision and multimodal models, especially on technical documents (PDFs, CAD) with text, vector geometry, and raster content.

• Strong knowledge of data structures, algorithms, and software engineering principles.

• Proven expertise with LLMs, deep learning systems, and applied ML.

• Experience debugging production ML systems using AI observability tools (e.g. Langfuse, Opik, etc.), tracing failures to root cause.

• Proficiency in Python and relevant ML frameworks (PyTorch, vLLM, etc.).

• Daily, fluent use of AI coding tools. You write effective prompts, iterate when output is wrong, and reliably tell working code from code that only looks right.

• Bonus: Computational geometry, or experience with vector drawing formats such as CAD and vector PDFs.

• Bonus: Go, the language our agent loop is written in.

Bonus: Familiarity with construction, civil engineering, or related industries where interpreting complex technical drawings and specifications is central to the work.

Human Skills

• Ownership mindset with a focus on delivering working systems in production.

• Strong product judgment, with an understanding of how system behavior impacts user experience and trust.

• Rigorous reviewer of agent instructions, skills, and documentation, ensuring they’re clear, unambiguous, and reliable for agents to act on.

• Curiosity about how systems behave in practice and how customers use them.

• Bias toward shipping. You take ambiguous problems and drive them to working solutions without needing the path fully defined for you.

• Judgment about what is ready to ship, and the willingness to push back to keep the work grounded in customer outcomes.

• Clear communicator. You explain ML tradeoffs to engineers, FDEs, and product stakeholders in plain terms, and share progress early.

• Critical evaluation of AI output. You spot hallucinated APIs, incorrect logic, and subtle bugs before they reach production.

• Systems thinking, including attention to correctness, determinism, and failure modes in long-running agents.

• Rigor about measurement. You measure before you claim an improvement, and you can tell a real gain from noise in an eval.

• Raises the bar for the team through design reviews, code reviews, and mentoring.

• Low ego, with a focus on team outcomes.

What We Offer

• High-caliber team of seasoned manufacturing and AI leaders

• Help create a category-defining platform transforming how manufacturers sell, support, and innovate

• Competitive compensation, meaningful equity, and employer-paid benefits

• Flexible PTO and access to the latest AI tools

• A values-driven culture that rewards ownership, curiosity and velocity

Who Should Apply

If you want to own the models and algorithms at the center of our product, from understanding complex technical documents to keeping long-running agents reliable, and you measure success by what reaches production rather than what gets published, we want to talk. You don’t need to check every box.

Equal-Opportunity Employer

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Apply on jobs.lever.co About employer

More about this job

Skills

ML
Research
Engineering principles
Deep learning
Debugging
Python
PyTorch
Civil engineering
Technical drawings
Documentation
Systems thinking
Coaching

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Work requirements

Jobs in the United States