EN_3012_Software Engineer / Performance Optimization Engineer (Large-Scale ML Infrastructure)
仕事概要
About the Role
◆This position is intended for software engineers who are passionate about building systems that execute computationally intensive workloads faster and more efficiently.◆
At Turing, we are developing an end-to-end autonomous driving system that directly controls vehicles from onboard camera inputs.
Autonomous driving systems require numerous compute-intensive workloads—including AI inference, model training, image processing, and sensor processing—to run in real time.
As a Performance Optimization Engineer, you will be responsible for designing, implementing, and optimizing systems that maximize the efficiency of computational resources such as CPUs and GPUs.
Rather than focusing solely on algorithm development, your mission is to identify and eliminate system-wide computational bottlenecks in order to execute the same workloads faster, with lower memory consumption, and lower latency.
◆Responsibilities
・Improve computational efficiency for autonomous driving model training
・Optimize data loading and video decoding processes within model training pipelines
・Develop high-performance image processing pipelines leveraging CPUs and GPUs
・Tune system performance to improve memory utilization and throughput
・Analyze performance bottlenecks using profiling tools
・Design highly efficient systems utilizing parallel and distributed computing
Improve the performance of large-scale data processing infrastructure
Through these efforts, you will play a critical role in maximizing system scalability and performance while enabling both faster development cycles and higher model quality.
Rather than being constrained by existing frameworks, you will help design and evolve next-generation ML infrastructure from the ground up, pushing the boundaries of autonomous driving through engineering excellence.
必須スキル
About the Role
◆This position is intended for software engineers who are passionate about building systems that execute computationally intensive workloads faster and more efficiently.◆
At Turing, we are developing an end-to-end autonomous driving system that directly controls vehicles from onboard camera inputs.
Autonomous driving systems require numerous compute-intensive workloads—including AI inference, model training, image processing, and sensor processing—to run in real time.
As a Performance Optimization Engineer, you will be responsible for designing, implementing, and optimizing systems that maximize the efficiency of computational resources such as CPUs and GPUs.
Rather than focusing solely on algorithm development, your mission is to identify and eliminate system-wide computational bottlenecks in order to execute the same workloads faster, with lower memory consumption, and lower latency.
◆Responsibilities
・Improve computational efficiency for autonomous driving model training
・Optimize data loading and video decoding processes within model training pipelines
・Develop high-performance image processing pipelines leveraging CPUs and GPUs
・Tune system performance to improve memory utilization and throughput
・Analyze performance bottlenecks using profiling tools
・Design highly efficient systems utilizing parallel and distributed computing
Improve the performance of large-scale data processing infrastructure
Through these efforts, you will play a critical role in maximizing system scalability and performance while enabling both faster development cycles and higher model quality.
Rather than being constrained by existing frameworks, you will help design and evolve next-generation ML infrastructure from the ground up, pushing the boundaries of autonomous driving through engineering excellence.
歓迎スキル
■Preferred qualifications
・Experience with GPU optimization using CUDA, TensorRT, or similar technologies
・Experience developing multi-GPU or distributed computing systems
・Experience training machine learning models using frameworks such as PyTorch
求める人物像
■Who we are looking for
・Individuals with the ambition to build a world-class company
・Self-driven engineers who proactively take ownership of challenges
・Humble team players who maintain empathy and a user-first mindset
・Professionals who thrive in rapidly changing and fast-growing environments
・Individuals with a strong growth mindset
・Resilient problem-solvers who enjoy tackling difficult challenges
【LEARN MORE】
▼Company website
https://tur.ing/
▼Turing Tech Blog
https://zenn.dev/p/turing_motors
▼Turipo（Owned media / Web Magazine）
https://tur.ing/turipo
【Application notes】
· Please submit your resume and work history in PDF format.
· Do not include salary information (current or desired) in your application documents or entry form.
· Our HR team will discuss compensation separately during the selection process.
応募概要
給与
◾️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)
◾️Senior Engineer
・Expected annual salary: ¥10,000,000 – ¥15,000,000
・Base monthly salary: ¥634,925 – ¥952,380
・Overtime allowance: ¥198,415 – ¥297,620 (※ covers 40 hours/month of deemed overtime)
◾️Principal Engineer
・Expected annual salary: ¥15,000,000 – ¥20,000,000
・Base monthly salary: ¥952,380 – ¥1,269,843
・Overtime allowance: ¥297,620 – ¥396,827 (※ covers 40 hours/month of deemed overtime)
※ The figures above are estimates. The final offer will be determined at the time of acceptance, taking into account your current compensation as well as your experience and skills.
※ For career hires, the floor is generally ¥7,000,000. However, offers exceeding ¥20,000,000 are also under consideration for exceptional candidates.
勤務地
■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. Expressway tolls and fuel costs are reimbursed.
※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.)
雇用形態
Employment type：Full-time, permanent
勤務体系
◾️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)
■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)
試用期間
Probation：3 months
福利厚生
【BENEFITS】
■Full social insurance (health, pension, employment, workers' comp)
■Commuting allowance: Reimbursed based on the commuting route and method approved by the company, calculated in accordance with company-defined standards.
■Subsidized lunch (company cafeteria program)
■Influenza vaccination subsidy
■Regular health check-up
■Health consultation via partner clinic
■External counseling / EAP service
■PC selection program (engineers)
■Turing Unlimited AI: All directly employed staff can use any AI services required for work at full company expense, with no usage cap.
■Parking subsidy (engineers under 30)
■Book purchase program
■Babysitter discount program
■Free AMH fertility test
■Free women's health counseling (partner clinic)
■Office snack convenience store
■All-hands social event subsidy
■No dress code
■Company resort facility (Tohshinkyou)
■Welfare rental housing service