or apply directly on Motional's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 50 days Motional's roles stay open a median of 87 days
- Reposted
- No
- Salary listed
- No 0% of Motional's roles list one
- Ghost-job risk at Motional
- high 74 stale, 1 reposted of 74 open
- Hiring momentum
- 107 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-29
Measured from postings appearing on and disappearing from Motional's own greenhouse board since 2026-08-03. Full hiring picture for Motional.
About this role
As a Machine Learning Systems Engineer on the ML Acceleration team, you will focus on optimizing systems for training large-scale models efficiently. Your responsibilities include performance profiling, optimizing distributed training pipelines, developing high-performance GPU kernels, and engineering robust data loading pipelines. This role is pivotal in enhancing the speed, cost-effectiveness, and reliability of machine learning model training.
- benefits
- 4/5
- freshness
- 5/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Motional as an employer.
What you need
- Bachelor’s, Master’s degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline
- Strong proficiency in Python
- Extensive hands-on experience with PyTorch
- Experience optimizing machine learning model execution during training and inference
- Strong understanding of fundamental machine learning concepts, architectures, and processes
- Exceptional analytical and problem-solving skills
What you get
- medical
- dental
- vision
- 401k with a company match
- health saving accounts
- life insurance
Worth weighing
- Salary range provided is broad and includes base salary only; additional compensation details are vague
- Role can be fully remote but encourages hybrid schedule with in-office time
- Focus on high-performance systems engineering may involve legacy systems depending on the existing infrastructure
Summarised from Motional's posting. Read the full original.
Listed by Motional on their greenhouse job board, last confirmed open on 2026-10-29. PitchMeAI is not the employer.
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