AI Accuracy Architect

We are seeking a Staff Engineer - AI Accuracy Architect to lead accuracy centric architecture and optimization for LLMs, VLMs, and emerging multimodal models, working closely with compiler, performance, and model optimization teams. This role spans Day0 hardware enablement through production deployment and requires deep expertise in quantization, numerics, and accuracy-performance tradeoffs across the inference stack., * Own accuracy architecture for LLM, VLM, and multimodal inference, balancing model quality, performance, power, and hardware constraints.

• Lead Day0 enablement of cutting edge models on current and future Qualcomm AI platforms in partnership with compiler, performance, firmware, and silicon teams.

• Design, implement, and evaluate quantization strategies (e.g., PTQ, QAT, mixed precision, per-channel/group-wise), understanding their impact on accuracy, latency, throughput, and memory.

• Analyze and resolve accuracy regressions and numerical stability issues across kernels, compilers, runtimes, and hardware.

• Partner with performance engineers to co-optimize kernels and execution strategies where accuracy and performance intersect.

• Drive model conversion, optimization, and deployment using PyTorch and ONNX, with accuracy validation as a first class requirement.

• Define accuracy evaluation metrics and tooling to track regressions and improvements over time.

• Serve as a technical authority and mentor on accuracy, quantization, and numerics across teams.

• Engage with customers and partners to debug complex accuracy issues and deliver production ready solutions.

Do you have experience in Quantization?, Do you have a Bachelor's degree?, * Extensive hands on experience with LLMs and/or VLMs in production or preproduction environments.

• Expert level understanding of quantization and numerics, including precision tradeoffs and accumulation behavior.

• Deep knowledge of transformer architectures, attention mechanisms, and MoEs.

• Proven ability to balance accuracy, performance, and hardware constraints.

• Experience across compiler, kernel, and hardware abstraction layers.

• Strong Python skills and ability to scale accuracy experiments.

• Solid foundation in computer architecture and ML accelerators.

• Strong technical leadership and communication skills.

• MS in CS, CE, EE, or related field, or equivalent experience., * PhD in a related field.

• Experience with ML compilers and torch.compile

• Background in numerical methods, linear algebra, and accuracy evaluation frameworks., * Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience., Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits : $158,400.00 - $237,600.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link .

Qualcomm Technologies, Inc., Qualcomm is leveraging its leadership in compute, connectivity, and AI acceleration to play a central role in the evolution of Cloud AI. The Qualcomm Cloud AI team develops hardware and software platforms enabling efficient, high quality inference of large scale foundation models.