- Sigma Group (San Diego, CA)
- …state, we offer long-term disability insurance only. Position On Device ML Power and Performance Optimization Engineer Company Sigma Connectivity ... join the Wearable System Architect team and work on power and performance optimization of on device ML . The area of focus and main problems to address… more
- Amazon (San Francisco, CA)
- …Engineer to join our Power Architecture team, developing firmware algorithms for power and performance management on ML Acceleration Chips. In this ... implement firmware algorithms for power management, thermal control, and performance optimization on ML acceleration hardware Develop real‑time control… more
- Amazon (Seattle, WA)
- …implement firmware algorithms for power management, thermal control, & performance optimization on ML acceleration hardware Develop real‑time control ... Firmware Engineer, Annapurna Labs, ML Acceleration - Performance Instrumentation &...policies & state machines that dynamically balance power , thermal, & performance constraints Create optimization… more
- Salesforce, Inc. (San Francisco, CA)
- …AI-driven IAM components and their dependencies.* Develop proof of concepts to validate ML feasibility, data quality, and performance at scale.* Integration & ... new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If… more
- Apple Inc. (Cupertino, CA)
- …situations that enhance our understanding of real‑world behavior. Integrate and deploy ML models on‑ device , building power ‑efficient frameworks that ... Senior ML Software Engineer - Apple Watch Cupertino, California,...perform in‑depth, hands‑on analysis for validating and quantifying algorithm performance both offline and on‑ device . Minimum Qualifications… more
- Qualcomm (San Diego, CA)
- …of ML /AI SW stack, kernels, and runtime software to improve performance and power efficiency. Collaborating with our AI Processor Hardware team ... with model optimization tools to deploy state-of-the-art models to edge devices with optimal power , memory, and computation use. In this role, you will be part of a… more
- Quartermaster (Washington, DC)
- …cloud environments Develop tools and scripts for benchmarking, data visualization, and debugging ML model performance Stay current with the latest research and ... Description: We are seeking a versatile and pragmatic Applied ML Engineer to contribute across a broad range of...broad range of machine learning and perception tasks that power our edge-intelligent maritime systems. This role requires someone… more
- Salesforce, Inc. (San Francisco, CA)
- …autonomous security. In this role, you will develop and optimize high- performance data infrastructure, collaborate with cross-functional teams to build "Zero Trust" ... technologies, we encourage you to apply!**What you will be doing: High- Performance Engineering: Design and develop scalable microservices in Golang (preferably),… more
- Arm Limited (San Diego, CA)
- …best-in-class silicon platforms, addressing markets such as premium mobile, compute, IoT, AI/ ML server, and automotive. Arm's ambition is to demonstrate efficient ... performance by architecting, implementing, and fabricating pioneering silicon using...for Arm SoCs to be used as workloads for power analysis in modelling, simulation, emulation and silicon platforms.… more
- Qualcomm (San Diego, CA)
- …of performance for various ML training workloads. Perform analysis of performance /area/ power trade‑offs for future HW and SW ML algorithms including ... devices, data centers, vehicles, and things. We are inventing, developing, and commercializing power -efficient on- device AI, edge cloud AI, data center and 5G to… more
- Apple Inc. (Seattle, WA)
- …models on microcontrollers, DSPs, and ML accelerators. Analyze and debug performance bottlenecks and power consumption across the hardware/software stack for ... Algorithm development. As an Embedded Machine Learning Engineer, you'll deploy efficient, low- power ML models directly onto embedded hardware, driving advanced,… more
- Apple Inc. (San Francisco, CA)
- …architectural skills with experience making technical decisions for large‑scale, high‑ performance ML systems Excellent communication and collaboration skills ... Learning and AI The Apple Intelligence Platform team builds the foundational on- device software infrastructure that powers Apple Intelligence. We develop the APIs,… more
- The Browser Company (New York, NY)
- …Audit and evolve the ML stack and infrastructure - spanning Swift for on‑ device inference and Python for models and tooling - to support both encoder and decoder ... and stay curious. About The Role As our founding ML Engineering TLM at the Browser Company, you'll build...evals, and continuous training to improve the models that power Dia. Support and build a talented team of… more
- Tonal (San Francisco, CA)
- …weave our knowledge and creativity, as we redefine the future of fitness, and Power Progress for our members. Overview Tonal is looking for an AI Engineer to ... and model serving infrastructure for real time applications Develop algorithms and ML models that enable personalized training, adaptive coaching, and performance… more
- Amazon (San Francisco, CA)
- …technology at global scale. Our teams build and maintain critical systems that power Amazon's entire device ecosystem, impacting millions of customers worldwide. ... ML -powered forecasting systems and scalable solutions for global device inventory management Customer Shopping Experience: Create next-generation shopping… more
- PubMatic, Inc. (Redwood City, CA)
- …app monetization platform . This role is focused on building high- performance , scalable, real-time systems that drive programmatic monetization across various mobile ... work closely with Product, Data Science, and Monetization teams to design ML -integrated systems that optimize yield, latency, and reliability across our mobile… more
- Crusoe Energy Systems LLC (San Francisco, CA)
- …and performance optimization is essential for developing reliable, high‑ performance , and secure virtualized environments that power our cutting‑edge ... Device Emulation : Develop and enhance virtual hardware components and device emulation, ensuring optimal performance and compatibility for specialized AI… more
- Apple Inc. (San Francisco, CA)
- …depend on. You will need to be comfortable writing Swift code, evaluating AI/ ML algorithms for on- device integration, collaborating on user experience design, ... some of Apple's most advanced technologies including augmented reality (AR), machine learning ( ML ) and computer vision (CV). As a senior member of our organization… more
- Qualcomm (San Diego, CA)
- …of software/firmware solutions for Cloud Edge and Data Center machine learning ( ML ) use cases running on premium-tier high- performance silicon. You will ... teams and contribute to the advancement of critical technologies such as ML acceleration, process in memory, memory management and virtualization. The candidate… more
- Google Inc. (Sunnyvale, CA)
- …Collaborate with RTL/Design and Product Development teams to achieve the best Power Performance Area (PPA) possible. This includes conducting feasibility studies ... and practical logic circuits solutions, while evaluating design options with optimized performance , power , and area in mind. The AI and Infrastructure… more
