Seeking a Senior Robotics Solution Architect to define and develop end-to-end technical solutions for humanoid robotics using Intel technologies.
Locations (2)
Shanghai, Shanghai, China
Shenzhen, Shenzhen, China
Responsibilities
Lead end-to-end solution architecture for humanoid robotics, defining hardware and software partitioning, subsystem interfaces, compute topology, and deployment requirements.
Translate robot-level requirements into detailed technical specifications, balancing performance, real-time responsiveness, power consumption, thermal constraints, reliability, and cost.
Architect heterogeneous computing solutions across CPUs, GPUs, and AI accelerators, allocating workloads for perception, sensor fusion, localization, motion planning, and control.
Define software architectures integrating robotics middleware, AI inference runtimes, real-time control frameworks, and development and debugging tools.
Collaborate with robotics engineering teams to integrate embodied AI models and learning-based policies with robot software and control systems.
Strategic Commodity Manager focused on sourcing memory, HDDs, SSDs, and related components for global market opportunities.
Responsibilities
Discover opportunities and manage commodities including memory, HDDs, SSD.
Develop and maintain strong relationships with OEMs, hyperscalers, and other key supply partners to ensure consistent and reliable sourcing.
Collaborate with internal purchasing and sales teams to align supply capabilities with business needs and customer requirements.
Identify and engage new customers to expand market reach and drive demand for commodity products.
Monitor global market trends, pricing, and supply chain dynamics to uncover business opportunities, optimize profitability, and support strategic decision-making.
Requirements
Bachelor's degree or higher in a relevant discipline
Nice to have: prior experience in a commodity franchise
Field CTO for EDA and AI based in London, covering the broader EMEA region, focusing on semiconductor design and AI infrastructure.
Responsibilities
Connect WEKA's EDA and AI customers across EMEA to the broader WEKA team, alongside other members of the CTO Office.
Partner with the GTM team to develop and deliver compelling technical presentations, demonstrations, and customer workshops.
Act as a trusted advisor to GTM teams and customers, providing deep technical expertise on how WEKA's technology solves EDA and AI-specific technical and business challenges.
Collaborate with internal stakeholders across product, engineering, and marketing to align customer needs, technology strategy, and product roadmap.
Deliver advisory services to the field, working with WEKA's presales and post-sales organizations to drive successful outcomes.
The Inside Solution Engineer provides remote technical support to HP's field Solution Engineers, helping them validate solutions, resolve technical issues, and advance customer engagements.
Compensation
The pay range for this role is $83,000 to $127,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only).
Responsibilities
Provide remote technical assistance with solution design, product capabilities, configurations, compatibility, and deployment considerations for Edge AI and Advanced Compute engagements.
Support demonstrations, proofs of concept, pilots, and deployment readiness through lab preparation, configuration reviews, technical validation, and troubleshooting.
Develop technical responses, configuration guidance, bills of materials, and supporting documentation in partnership with field Solution Engineers.
Triage field issues based on customer impact, urgency, and deployment risk; gather environment details, logs, configurations, reproduction steps, and expected behavior.
Reproduce and isolate hardware, firmware, driver, operating system, application, networking, and integration issues in lab environments.
Requirements
Nice to have: HP compute platforms
Nice to have: enterprise support processes
Nice to have: product engineering collaboration
Skills
Senior Research Scientist, Hybrid Quantum-HPC Systems Architecture (Technical Lead)
Oak Ridge National Laboratory · Posted Nov 6, 2026
Lead research area developing integration models for hybrid quantum-HPC systems, directing R&D, mentoring staff, and shaping future system architecture.
Responsibilities
Lead research agenda and milestones
Drive R&D into hybrid quantum-HPC system design
Build digital twins and simulations
Mentor research staff
Represent ORNL in vendor engagements
Requirements
PhD in computer science, computer engineering, electrical engineering, physics, computational science, or a related field
Nice to have: Research on hybrid classical-quantum systems
Nice to have: HPC system integration or characterization
Nice to have: Modeling and simulation of computer systems
Nice to have: Networks and interconnects for quantum and classical resources
Lead research area developing integration models for hybrid quantum-HPC systems, directing R&D, building digital twins, and guiding a multidisciplinary team.
Responsibilities
Lead research agenda and milestones
Drive R&D into hybrid quantum-HPC system design
Build digital twins and simulations
Mentor research staff
Represent ORNL in vendor engagements
Requirements
PhD in computer science, computer engineering, electrical engineering, physics, computational science, or related field
Lead software development for AI/ML products, focusing on model deployment, performance optimization, and generative AI within Google’s JAX Models and Performance team.
As a member of Qualcomm’s Audio Systems Group, you will work on the forefront of on-device AI and multimedia technology, focusing on the design and implementation of audio and speech signal processing solutions leveraging signal processing and machine learning (ML).
Responsibilities
Design and develop end-to-end software audio system, including both reference design and IP, with a primary focus on echo cancellation, noise suppression and speech enhancement algorithms.
Create, prototype, and commercialize innovative audio solutions using both traditional signal processing and ML methodologies.
Analyze and validate performance of audio subsystems to meet strict metrics for robustness, power, and stability on Qualcomm platforms.
Implement, test, and troubleshoot fixed-point and floating-point algorithms, including ML-based audio features.
Develop, optimize, and deploy audio ML models for audio applications, with a focus on inference efficiency across NPUs, GPUs, and CPUs.
Field CTO, LondonWEKA · Remote, United Kingdom
Senior Research Scientist, Hybrid Quantum-HPC Systems Architecture (Technical Lead)Oak Ridge National Laboratory · Oak Ridge, US
Account Executive - AI Native, EMEAModal · London, United Kingdom
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Voice AI Systems EngineerQualcomm · Hyderabad, India