EN_3030_Software Engineer (Training & Inference Optimization)English summary from Japanese

Turing株式会社

✓ Detailed

Salary

-Salary- ◾️Engineer ・Expected annual salary: ¥7,000,000 – ¥10,000,000 ・Base monthly salary: ¥444,449 – ¥634,925 ・Overtime allowance: ¥138,891 – ¥198,415 (※ covers 40 hours/month of deemed overtime)

Location

-Work location- ■Heiwajima Office 〒143-0006 Tokyo Ryutsu Center Logistics Building A, 6-1-1 Heiwajima, Ota-ku, Tokyo, Japan ▼Access 7-minute walk from Tokyo Monorail Ryutsu Center Station. Commuting by public transit or personal vehicle/motorcycle is permitted. ※Commuting allowance ・Allowance is calculated based on the commuting route and method approved by the company, in accordance with company-defined standards. (The maximum reimbursement amount is set separately by the company. Tax treatment — taxable or non-taxable — is handled appropriately in accordance with the Income Tax Act and other applicable laws.) ・Expressway tolls incurred during commuting are eligible for reimbursement. ・For motorcycle commuters, only fuel costs are eligible for reimbursement. (Expressway tolls are not covered.)

Job Type

Full-time

Work Style

◾️Flextime system ・Core hours: 11:00 – 15:00 ・Flexible hours: 08:00 – 11:00 and 15:00 – 22:00 ・Typical schedule: 10:00 – 19:00 (1-hour lunch break). ※Start and end times can be adjusted flexibly to suit your lifestyle and workload. 【Leave & Holidays】 ■Weekends & public holidays ■13 days paid leave granted at joining (first year) ■Summer vacation & year-end/new year holidays ■Life support leave: 5 days granted on day of joining (valid 1 year) ■Congratulatory / bereavement leave (incl. 5-day marriage leave) ■Maternity & parental leave ■Reduced working hours for childcare (until end of 3rd grade) ■Child nursing / caregiver leave (5 days, unpaid)

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Role summaryEnglish summary from Japanese

English summary for screening — check the original posting before applying.

Turing is a deep-tech startup developing full self-driving capabilities using multimodal generative AI. This role focuses on optimizing training and inference for autonomous driving models, requiring deep understanding of AI systems, autonomous driving software, and hardware control to ensure stable, high-performance operation.

Must-haves

Experience with technical document writing (design proposals, specifications, etc.)
Experience in ML optimization areas such as inference SDKs (TensorRT), ONNX runtime, bottleneck analysis (NVIDIA Nsight), custom operator implementation, quantization/pruning, or CUDA parallel programming.

Nice-to-haves

Development experience with sensor fusion, LiDAR, SLAM, camera sensing
Implementation experience with autonomous driving SoCs (e.g., NVIDIA Orin)
Development experience in autonomous driving or robotics
Track record of OSS contributions

Tech stack

PythonPyTorchOpenCVMMDetection

About the Company