511 Linux C Embedded Engineer jobs in New York,NY

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Software Engineering/Applications Leadership Advisory - Executive Technology Services for Global Enterprises

Gartner

Newark, NJ 07175

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Product Engineer - onsite in New Jersey

CIENA

Berkeley Heights, NJ 07922

Flexible Schedule

New, Posted 1 day ago

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Test Engineering Technician - AI Data Center Systems (Servers & GPUs)

Advanced Micro Devices

Secaucus, NJ 07094

~ 18 min Onsite

Associate's degree in Electronics, Electrical Engineering Technology, Information Technology or related, or an or equivalent combination of education and experience is preferred
CompTIA A+ or equivalent certifications or experience is desired
MCP/MSCE certification is a plus
Ability to lift up to 35 pounds
Safely climb ladders
Wear personal protective and ESD gear correctly
Stand and walk throughout the facility for extended periods without loss or reduction of productivity
Experience with server hardware, racks, IT, cabling management, X-ray scopes
Semiconductor chip technology knowledge
Strong experience in a lab environment
Hands on experience testing and troubleshooting semiconductor GPUs, switches and CPUs in a semiconductor lab environment or reliability testing facility
Experience with Windows Server OS
Experience with Linux PXE services a plus
Demonstrated effective and collaborative communication and teamwork experience
Work with lab tools (e.g.: diagnostics, tests, and standard semiconductor industry hardware and software)

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New, Posted 3 hours ago

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AI Engineer

Capital One

New York, NY 10001

New, Posted just now

Field Structural Engineer (Solar Focused)

Pure Power Engineering

Hoboken, NJ 07030

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
Engineering leadership and team-building experience, including managing senior technical staff — 7 years

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