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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Задачи чётко сосредоточены на запуске и оптимизации моделей автономного вождения на автомобильном оборудовании, а также на создании новой архитектуры интеграции. Это даёт серьёзную техническую глубину, но работа связана с высокими требованиями к надёжности и безопасности.
Актуальные технологии
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr. Software Integration Engineer, Autonomy (ML/Embedded Automotive): Integrating and optimizing autonomy ML models for real-time execution on vehicle hardware with an accent on deployment pipelines, inference performance, and model-to-system interfaces. Focus on diagnosing runtime failures, meeting latency and resource constraints, and building reliable production deployment for safety-critical autonomous driving systems.
Location: Sunnyvale, United States
Salary: $200,000–$300,000
Company
hirify.global is a mobility AI company and the Global Software Center of Hyundai Motor Group, developing software-defined vehicle technologies and autonomous transportation systems.
What you will do
Integrate end-to-end driving, VLA, and world models into the on-board compute and runtime stack.
Optimize ML inference for latency, throughput, memory, and power on embedded automotive hardware.
Build and maintain the model deployment pipeline, including model 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
Track record of ownership and successfully moving difficult problems from ambiguity to deployment.
Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field.
5+ years of systems or software engineering experience, including meaningful experience in ML inference, embedded systems, or real-time software.
Experience deploying and optimizing ML models in production on resource-constrained hardware.
Strong C++ and Python skills, with experience working across the ML and systems boundary.
Nice to have
Background in autonomous driving or robotics on-board software.
Experience with TensorRT, ONNX Runtime, and automotive SoCs.
Experience with real-time operating systems and safety-critical software practices.
Experience building CI/CD and automated validation pipelines.
Culture & Benefits
Founding-team opportunity to shape the on-board integration architecture without a legacy deployment stack.
Opportunity to define the model deployment pipeline, inference optimization strategy, and interface contract standards for the autonomy stack.
Full-time employment in an inclusive equal-opportunity workplace.
Applications are encouraged from U.S. veterans and candidates eligible for employment preference under applicable laws; qualified individuals with disabilities will receive consideration under the ADA.
Hiring process
Application review, coding test, first interview, second interview, offer negotiation, and hiring; the sequence may vary depending on the position and circumstances.
Submit application documents in PDF format under 30MB. Do not include personal information unrelated to job qualifications.
If resume upload issues occur, send the resume and job posting URL to recruit@hirify.global.ai.
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