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Business Intelligence Analyst
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Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
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Software Integration Engineer, Autonomy
42dot
San Francisco
The on-board integration architecture is being defined right now, with no legacy deployment stack to retrofit. An early hire here will help shape:
Added 6 mins ago
Sr. Software Integration Engineer, Autonomy
42dot
San Francisco
The on-board integration architecture is being defined right now, with no legacy deployment stack to retrofit. An early hire here will help shape:
Added 8 mins ago
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Added 9 mins ago
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Sr. Data Engineer
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Senior Member of Technical Staff, Platform Engineer (Infra)
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Senior Firmware Engineer, Embedded Platform
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42dot

Software Integration Engineer, Autonomy

San Francisco, United States

$150,000 - $205,000

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Job details

Pay: $150,000 - $205,000
Experience: 2-4 years of experience in systems or software engineering, with some exposure to ML inference, embedded systems, or real-time software
Posting language: English
Posted: Nov 6, 2026

Original job description

WE ARE LOOKING FOR THE BEST

ABOUT US

42dot is a mobility AI company committed to solving mobility challenges with software and AI. As the Global Software Center of Hyundai Motor Group, 42dot pioneers the future of mobility by advancing the development of software-defined vehicles.

We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI technology, 42dot envisions a world where everything is connected and moves autonomously through a self-managing urban transportation operating system.

ABOUT THE ROLE

Great models are only as good as the system they run on. This role sits at the boundary between the ML autonomy team's models and the on-board system, taking what the research and ML teams build and turning it into something that runs reliably, in real time, on real vehicle hardware. 42dot is looking for builders who want to own the last and hardest mile between a model that works in an offline eval and a model that works in a vehicle.

FOUNDING TEAM OPPORTUNITY

The on-board integration architecture is being defined right now, with no legacy deployment stack to retrofit. An early hire here will help shape:

The model deployment pipeline, from training-time artifact to vehicle-ready binary
Inference optimization strategy and tooling for the whole autonomy stack
The interface contract standard between ML models and on-board software

Responsibilities

Integrate ML models (end-to-end driving, VLA, world models) onto the on-board compute and runtime stack
Optimize model inference for latency, throughput, memory, and power on embedded automotive hardware
Build and maintain the model deployment pipeline, including conversion, validation, and rollout
Stabilize on-vehicle ML execution by diagnosing runtime failures, timing violations, and resource contention
Define interface contracts between ML models and the rest of the on-board software stack
Work closely with the ML autonomy team to close the loop between deployment constraints and model design

Qualifications

A track record of grit and ownership, with a demonstrated ability to work through ambiguous technical problems to a working solution
Bachelor's or Master's degree in CS, EE, Robotics, or related field
2-4 years of experience in systems or software engineering, with some exposure to ML inference, embedded systems, or real-time software
Experience contributing to deploying or optimizing ML models in production.
Solid C++ and Python skills, with interest in working across the ML and systems boundary

Preferred Qualifications

Background in autonomous driving or robotics on-board software
Exposure to inference optimization frameworks such as TensorRT, ONNX Runtime, and automotive SoCs
Exposure to real-time operating systems and safety-critical software practices
Experience contributing to CI/CD and automated validation pipelines

Interview Process

Application Review - Coding Test - 1st interview - 2nd interview - Offer Negotiation - Hiring
The screening procedures may vary depending on the position, schedule, or other circumstances.

You will be individually notified of the screening schedule and results via the email address provided in your application.

Compensation

$150,000 - $205,000

Additional Information

In accordance with fair hiring practices, do not include any personal information unrelated to your job qualifications (e.g., Social Security Number, family relations, marital status, age, photo, physical condition, place of birth, etc.) in your resume.
All documents must be submitted in PDF format and under 30MB in size.
If you experience issues uploading your resume, please send it along with the job posting URL to recruit@42dot.ai.
We strongly encourage applications from U.S. veterans and candidates eligible for employment preference under applicable laws.
Qualified individuals with disabilities are encouraged to apply and will receive consideration under the Americans with Disabilities Act (ADA).
42dot does not accept unsolicited resumes and will not pay fees for any such submissions. Equal Opportunity Statement
42dot is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.

※ Please review the following information before applying.

How to work in 42dot, About 42dot Way → https://42dot.ai/careers/way

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