ML Systems Integration Engineer
Looking for a machine learning engineer job in Sunnyvale? Choose from 21 open roles at 7 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.
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The roles on this page divide broadly into three technical territories. Several centre on autonomous vehicles and robotics: Wayve's postings include a performance tooling engineer who builds measurement and prediction tools across an AI stack to optimise training and inference on cloud and embedded hardware, while Sonatus is hiring for in-vehicle health monitoring — deploying models on resource-constrained edge devices to detect and predict failures from logs, sensor, and trace data. Applied Intuition focuses on behaviour prediction and planning for autonomous vehicles, requiring engineers to prototype, evaluate, and deploy deep-learning algorithms for trajectory and interaction modelling. Machine Learning Engineer, Performance Tooling and Senior Staff Machine Learning Engineer illustrate the hardware-adjacent end of the spectrum. At the other end, Google's Senior Software ML Engineer, AI/ML GenAI, Gemini Enterprise involves building agentic GenAI features using LLMs, RAG, and ML infrastructure. Cerebras's ML Systems Integration Engineer sits closer to hardware debugging, investigating hardware-software interactions and building diagnostic tooling.
Python and PyTorch are the most widely mentioned technologies across these postings, and C++ appears in roughly half, reflecting the hardware and embedded focus of several employers. Evaluation methodology, GPU usage, distributed training, CUDA, and reinforcement learning each feature in a meaningful subset. A PhD is mentioned in roughly a third of postings, though whether it is required or preferred is not uniform and worth checking per role. The sample covers all postings on this page.
The employers' own advertised ranges, for individual roles at different levels — not an average and not a market rate.
Most postings on this page are listed as hybrid, with a smaller group requiring full on-site attendance. None are advertised as remote. The hybrid postings do not uniformly state how many in-office days are expected, so candidates should check individual listings for that detail. All roles appear tied to Sunnyvale-area offices, which is consistent with the concentration in companies working on physical systems such as vehicles and AI hardware, though on-site expectations are not explicitly explained in every posting.
Jobs checked 3 hours ago. · Guide reviewed 9 September 2026.
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