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Summer Machine Learning Hardware Jobs in Oregon (NOW HIRING)

AI Infrastructure Engineer

Hillsboro, OR

$170K - $315K/yr

  • Medical

  • Retirement

  • PTO

Shape the Hardware Roadmap: Apply roofline analysis and systematic profiling to decompose ... Intelligence/Machine Learning, or related field and 4+ years experience, Masters Degree and 3+ ...

... vision, machine learning, software stack, and compute. Field operations for future / existing ... Working with Hardware, Software, and Field Service teams to optimize the positioning of Kargo ...

Associate Software Engineer

Corvallis, OR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... software, hardware, and QA engineers to build high-performance, real-time applications. • ... machine learning or artificial intelligence. • Familiarity with game engines such as Unreal ...

Associate Software Engineer

Corvallis, OR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... software, hardware, and QA engineers to build high-performance, real-time applications. · ... of machine learning or artificial intelligence. · Familiarity with game engines such as Unreal ...

Technical Support Administrator

OR · Remote

$25.96 - $35.96/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Identify and learn appropriate software and hardware used and supported by the organization ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

... machine learning, and deep learning. Assists in implementing and tuning models for performance and accuracy, applied research, and hardware software integration. May also include the creation of AI ...

Engineering Manager, Autonomy Planning & Behaviors

OR · On-site +1

$180K - $240K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Machine learning for complex decision making and behavior generation. * Years of experience ... Experience with hardware and software integration and debugging. * Experience with flight testing ...

Senior Product Manager - Appliance Experience

OR · On-site +1

$126K - $166K/yr

... inference, machine learning, and other compute-intensive workloads run faster, work more ... Drive definition and delivery of WEKA certified hardware systems with partners * Manage roadmap ...

... inference, machine learning, and other compute-intensive workloads run faster, work more ... Advise on hardware and topology choices to meet workload requirements. Designated Services ...

Showing results 41-60

Summer Machine Learning Hardware information

What is the difference between Summer Machine Learning Hardware vs Summer Data Scientist?

AspectSummer Machine Learning HardwareSummer Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; knowledge of hardware design and programmingBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and programming
Work EnvironmentHardware labs, R&D centers, tech companies focusing on AI hardwareOffice settings, research labs, tech companies analyzing data and building models
Industry UsageAI hardware development, embedded systems, hardware acceleration for MLData analysis, predictive modeling, AI application development

Summer Machine Learning Hardware roles focus on designing and optimizing hardware for machine learning applications, requiring technical skills in hardware engineering. In contrast, Summer Data Scientist positions involve analyzing data, building models, and deriving insights. Both roles are essential in AI development but differ in their technical focus and work environment.

Contractor

Re-posted 6 days ago


Job description


Description
We are seeking a highly skilled and experienced Windows 11 Enterprise Deployment Tech Lead to spearhead our organization's strategic migration to Windows 11. The ideal candidate will possess a deep understanding of enterprise deployment strategies, strong technical acumen, and exceptional project management skills.
Responsibilities
Enterprise Strategy Development:
o Develop and execute a comprehensive Windows 11 deployment strategy aligned with the organization's business objectives and IT roadmap.
o Conduct thorough assessments of hardware compatibility, software application compatibility, and user impact analysis.
o Identify potential risks and challenges and develop robust mitigation plans.
Technical Leadership and Team Management:
o Lead and mentor a team of technical specialists, fostering a culture of innovation and excellence.
o Provide technical guidance, troubleshoot complex issues, and ensure adherence to best practices and security standards.
o Configure and optimize Windows 11 settings, policies, and security configurations to meet enterprise requirements.
• Deployment Execution and Optimization:
o Oversee the deployment process, including image creation, deployment methods (SCCM, Intune, Autopilot, etc.), and post-deployment tasks.
o Monitor deployment progress, address issues promptly, and optimize deployment efficiency.
o Collaborate with infrastructure, security, and network teams to ensure seamless integration and performance.
User Experience and Adoption:
o Work closely with end-user support teams to provide timely assistance and training.
o Develop comprehensive user documentation and training materials.
o Gather user feedback and incorporate it into future deployment and support strategies.
• Reporting and Documentation:
o Generate detailed reports on deployment progress, success metrics, and ROI.
o Maintain comprehensive documentation for future reference and troubleshooting.
Requirements
• Deep understanding of Windows 11 enterprise features, functionalities, and security implications.
• Proven experience in large-scale Windows 10 to Windows 11 migrations in complex enterprise environments.
• Expertise in deployment technologies such as SCCM, Intune, Autopilot, and scripting (PowerShell, etc.).
• Strong knowledge of Windows 10 and 11 compatibility issues, resolution techniques, and application virtualization.
• Excellent problem-solving, troubleshooting, and decision-making skills.
• Strong communication and interpersonal skills to effectively collaborate with diverse teams, including executives, technical teams, and end-users.
• Experience in project management methodologies and ability to deliver projects on time and within budget.
• Strong understanding of security best practices, compliance requirements, and risk management.
Preferred Skills
• Microsoft certifications related to Windows 11, Intune, SCCM, or Azure AD.
• Experience with cloud-based deployment strategies and Azure AD.
• Knowledge of virtualization technologies (VMWare, Hyper-V).
• Experience with emerging technologies, such as AI and machine learning, to optimize deployment and support.