664 Science Structures Engineer Position jobs in New York

Head of AI Data Science, Intelligence Ventures

Spectrum Careers

New York, NY 10025

High School Science Teacher

URBAN DOVE TEAM CHARTER SCHOOLS

Bronx, NY 10455

$70,969-$114,450/yr

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Senior Engineer– Embedded Software

GE Vernova

Niskayuna, NY 12309

Paid Relocation to Niskayuna, NY

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Ph.D. in Computer Science, Electrical Engineering, Aerospace Engineering, or related disciplines with a minimum of 7 years of industry experience
Or Master's Degree in Computer Science, Electrical Engineering, Aerospace Engineering, or related disciplines with a minimum of 10 years of industry experience
Or Bachelor's Degree in Computer Science, Electrical Engineering, Aerospace Engineering, or related disciplines with a minimum of 15 years of industry experience
3- 7 years of strong FPGA/SoC design and development experience with Verilog and VHDL
3- 7 years of knowledge of Xilinx and/or Altera devices, tools, and ecosystem (e.g., ModelSim, Intel Quartus, Xilinx Vivado, etc.)
3- 7 years of experience with the development of real-time embedded applications and systems on microcontrollers, FPGAs, x86, and/or ARM processors
3- 7 years of experience with heterogeneous computer architectures and hardware acceleration techniques
3- 7 years of strong embedded programming skills (e.g., C/C++/C#, Java, Python, MATLAB, etc.)
3- 7 years of experience with Linux driver and/or Linux kernel development and Linux build systems (e.g., Yocto)
Ability to maintain a U.S. security clearance, prerequisite for clearance is U.S. citizenship.
Applicants must be currently authorized to work in the United States without the need for employer sponsorship. This role is not eligible for employer immigration sponsorship, now or in the future.
Must be willing to work out of an office located in Niskayuna, NY

SmartExplore AI is experimental.

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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

SmartExplore AI is experimental.

New, Posted 5 hours ago

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Manufacturing Production Technician

Nestle Health Science

Bohemia, NY 11716

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Senior AI Agent Engineer

GE Vernova

Niskayuna, NY 12309

Paid Relocation to Niskayuna, NY

HybridEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

5+ years of relevant experience and a Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering, or related fields.
3+ years of experience in AI, GenAI application development & deployment particularly with autonomous agent systems or related AI software engineering roles.
3+ years of experience designing and building GenAI apps that allow users to experience AI use cases supporting features like agent orchestration, multi-step reasoning, prompt engineering, RAG integration, and model selection
3+ years of experience with LLMs and deep learning models, machine learning lifecycle management, data generation methods, model training & validation coupled with strong fundamentals and passion in software engineering and system architecture.
Proficiency in Python and/or languages like JavaScript, TypeScript, Node.js, or Java, Go, with strong coding and software engineering practices.
Expertise with AI/ML libraries and frameworks such as LangChain, OpenAI APIs, PyTorch, TensorFlow, commercial or open source LLMs.
Hands-on experience with LLMs, prompt engineering, and natural language processing (NLP).
Knowledge of agent orchestration platforms and multi-agent systems (e.g., AutogenAI, LangGraph, MCP protocol).
Familiarity with data management, vector databases, semantic retrieval, and real-time data pipelines.
Experience deploying AI systems on cloud platforms (AWS, Google Cloud) with container orchestration (Docker, Kubernetes).
Strong understanding of machine learning model training, fine-tuning, and evaluation techniques.
Awareness of AI ethics, data privacy, and secure handling of sensitive information.
Must be 18 years or older
Legal authorization to work in the U.S. is required. We will not sponsor individuals at the Bachelor's level for employment visas, now or in the future, for this job opening.
You must submit your application for employment on the careers page at www.gecareers.com to be considered
Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA.
Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided.
Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).