763 Staff Embedded Software Engineer jobs in New York

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Specialist, Software Engineer

L3Harris Technologies

Rochester, NY 14603

OnsiteUrgently HiringBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

2+ years of embedded SW engineering experience.
Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience.
Ability to obtain a US Security Clearance

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Director, Software Engineering

SAAB

East Syracuse, NY 13057

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Software Engineering or related discipline.
18+ years of experience in a technical/engineering environment
At least 5+ years in a leadership role focused on engineering management and leading other people managers.
Proven success building, scaling, and leading a high-performing engineering function with preference for Aerospace and Defense experience.
Strong understanding of the product development lifecycle, software engineering principles, anti-tamper cybersecurity and functional execution in regulated industries.
Demonstrated experience contributing to and aligning engineering strategy and execution with broader business and programmatic goals.
Experience shaping organizational direction through technical leadership, innovation, and continuous improvement initiatives.
Ability to lead through ambiguity, anticipating change, mitigating risk, and making sound high impact decisions.
Demonstrated success in developing technical talent and managing team performance.
Deep expertise in software development, especially object-oriented design, UML, and embedded systems.
Proficient in C/C++, Java, and tools like VS Code, DOORS, Git, SVN, and PTC Integrity Modeler.
Experience with multiple development methodologies like Agile, Waterfall, and Spiral.
Willingness to travel up to 10% in support of program and business efforts.
Ability to obtain a Secret level clearance.
Must be a U.S. citizen.
Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information.
As a condition of employment, candidates will be required to pass a pre-employment drug screen.

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Senior Engineer– Embedded Firmware

GE Vernova

Niskayuna, NY 12309

OnsiteUrgently HiringEducation 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
Master's Degree in Computer Science, Electrical Engineering, Aerospace Engineering, or related disciplines with a minimum of 10 years of industry experience
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

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

OnsiteUrgently Hiring

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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