pythonc++ci cdmachine learningtensorrtembedded systemsml inferenceautonomous drivingonnx runtimereal time software
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$150к-205к/год
$170к$200кмедиана$260к
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Крутая вакансия
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Чётко очерченная роль в автономном вождении даёт возможность влиять на архитектуру внедрения ML в автомобили и работать с производственными системами в быстро развивающейся AI-сфере.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Integration Engineer, Autonomy (C++/Python/Automotive AI): Integrating ML autonomy models with on-board vehicle compute and runtime systems, with an accent on real-time inference, deployment pipelines, and embedded hardware optimization. Focus on reducing latency, throughput, memory, and power costs, stabilizing on-vehicle execution, and defining interfaces between models and safety-critical vehicle software.
Location: Sunnyvale, United States
Salary: $150,000–$205,000
Company
hirify.global is a mobility AI company and the Global Software Center of Hyundai Motor Group, developing software-defined vehicle technologies and autonomous urban transportation systems.
What you will do
Integrate end-to-end driving, VLA, and world models with on-board compute and runtime systems.
Optimize ML inference for latency, throughput, memory, and power on embedded automotive hardware.
Build and maintain model deployment pipelines covering conversion, validation, and rollout.
Diagnose runtime failures, timing violations, and resource contention to stabilize on-vehicle ML execution.
Define interface contracts between ML models and the on-board software stack.
Collaborate with the ML autonomy team to connect deployment constraints with model design.
Requirements
Demonstrated grit, ownership, and ability to solve ambiguous technical problems through to a working solution.
Bachelor’s or Master’s degree in computer science, electrical engineering, robotics, or a related field.
2–4 years of systems or software engineering experience, including exposure to ML inference, embedded systems, or real-time software.
Experience contributing to the deployment or optimization of ML models in production.
Solid C++ and Python skills, with interest in working across the ML and systems boundary.
Nice to have
Background in autonomous driving or robotics on-board software.
Exposure to TensorRT, ONNX Runtime, automotive SoCs, real-time operating systems, or safety-critical software practices.
Experience contributing to CI/CD and automated validation pipelines.
Culture & Benefits
Full-time opportunity on a founding team defining the on-board integration architecture without a legacy deployment stack.
Opportunity to shape the model deployment pipeline, inference optimization strategy, and ML-to-on-board interface standards.
Applications from U.S. veterans and candidates eligible for employment preference are encouraged.
Qualified individuals with disabilities receive consideration under the Americans with Disabilities Act.
hirify.global is an equal opportunity employer committed to an inclusive workplace.
Hiring process
Application review, coding test, first interview, second interview, offer negotiation, and hiring.
Screening stages and schedules may vary; results are sent to the email address provided in the application.
Submit documents in PDF format under 30MB; resumes must not include personal information unrelated to job qualifications.
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