AI Inference Engineer

AI Inference EngineerHybridSoftware EngineeringFull timeBurlingame, California, United StatesShare this job DescriptionQuadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.RoleThe AI Inference Engineer in Quadric is the key bridge between the world of AI/LLM models and Quadric unique platforms. The AI Inference Engineer at Quadric will [1] port AI models to Quadric platform; [2] optimize the model deployment for efficient inference; [3] profile and benchmark the model performance. This senior technical role demands deep knowledge of AI model algorithms, system architecture and AI toolchains/frameworks.This California Bay Area based role follows a hybrid schedule, with at least two in-office days per week at our Burlingame office, the ability to commute regularly, and occasional additional onsite days as needed based on team and business priorities. The team and company also gather periodically for onsite meetings and offsite events, which are valued opportunities to connect, collaborate, and align.ResponsibilitiesQuantize, prune and convert models for deploymentPort models to Quadric platform using Quadric toolchainOptimize inference deployment for latency, speedBenchmark and profile model performance and accuracyCollaborate across related areas of the AI inference stack to support team and business prioritiesDevelop tools to scale and speed up the deploymentMake Improvement to SDK and runtimeProvide technical support and documents to customers and developer communityRequirementsBachelor’s or Master’s in Computer Science and/or Electric Engineering.5+ years of experience in AI/LLM model inference and deployment frameworks/toolsexperience with model quantization (PTQ, QAT) and toolsexperience with model accuracy measuresexperience with model inference performance profilingexperience with at least one of the following frameworks: onnxruntime, Pytorch, vLLM, huggingface-transformer, neural-compressor, llamacppProficiency in C/C++ and PythonDemonstrate good capability in problem solving, debug and communicationBenefitsAt Quadric, we value Integrity, Humility, and Happiness. What we expect from one another is simple and clear: Initiative, Collaboration, and Completion. We are a collaborative team focused on building something extraordinary in the edge computing space. Competitive salary and meaningful equityMedical, dental, and vision plans starting on day one401(k) retirement planFlexible paid time off (unlimited, non-accrual) to support work-life balanceWhen working in-office, enjoy company-provided lunches and a stocked kitchenConvenient office location within walking distance of the Caltrain stationSupport for commuting, including monthly parking or Caltrain passesDowntown Burlingame office location, close to shops, cafes, and local amenitiesA politics-free, highly collaborative environment where talented people can do their best work and make an immediate impactThe opportunity to build long-term career relationships in a company that values strong personal connections alongside professional excellenceThe base salary range for this position is $110,000 to $270,000. This range reflects the full span of levels and geographies at which Quadric hires for this role. The actual base salary offered will depend on a number of factors, including the specific level of the role, years and depth of relevant experience, technical skills and competencies, the criticality of the role to the business, internal equity, and...