1965 Embedded Software Engineer jobs in Freehold,NJ

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Senior Research Software Engineer

Princeton University

Princeton, NJ 08542

~ 36 min OnsiteUrgently Hiring

Strong programming skills, particularly in the languages used in scientific computing applications (specifically Python).
7+ years' experience as a Research Software Engineer, this includes graduate level and postdoctoral work.
Experience with Python libraries (especially NumPy) and the Python ecosystem of tools for managing environments and code testing, linting, dependency management and packaging (e.g., Poetry), etc.
Demonstrated success:
Consistently using conventional and readable coding style.
Performing test-driven development.
Creating comprehensive and well-written documentation.
Participating in regular code reviews as both a reviewer and reviewee.
Developing and maintaining reproducible build systems.
Using version control systems.
Using CI/CD pipelines.
Demonstrated successes contributing to a collaborative research team.
Ability to work independently.
Ability to learn new programming languages and technologies beyond area of core knowledge.
Ability to communicate effectively with a diverse user base having varied levels of technical proficiencies.
Ability to manage code bases with agility in a fast-paced, collaborative environment.
Bachelor's degree in computer science, engineering, sciences, or related computational field required.

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Sr. TPM, GenAI, Catalog Systems

Amazon.com Services LLC

New York, NY 10261

~ 1 hr 10 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

7+ years of working directly with engineering teams experience
5+ years of technical product or program management experience
3+ years of software development experience
5+ years of technical program management working directly with software engineering teams experience
Experience managing programs across cross functional teams, building processes and coordinating release schedules

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

~ 1 hr 10 min 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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New, Posted 15 hours ago

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Senior Mechanical Engineer

The LiRo Group

Edison, NJ 08817

New, Posted 22 hours ago

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Senior Associate, Cloud Engineering - CMDB

KPMG

New York, NY 10025

~ 1 hr 10 min OnsiteHealth InsuranceRetirement Benefit

Minimum three years of recent experience in IT infrastructure technology management and architecture including IaaS/PaaS/DevOps cloud transformation programs and infrastructure automation, prior system/storage; admin/engineering experience and consulting experience; four years of cloud strategy, migration, and transformation leadership including cloud services (IaaS/PaaS) implementation & migration, including Azure or AWS
Bachelor's degree in Computer Sciences from an accredited college/university
Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
Ability to travel as needed

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Nuclear Engineer

U.S. Navy

Jamesburg, NJ 08831

Retail Associate

Infinite Machine

New York, NY 10261

New, Posted 9 hours ago

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Director, Computational Governance

Genmab

Plainsboro, NJ 08536

Hybrid~ 30 minEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

10+ years of experience in data platforms, data governance, data engineering, MDM, or related technical leadership roles.
Hands-on experience implementing governance and MDM through modern cloud data platforms.
Proven ability to translate policy and master data intent into enforceable technical controls.
Experience coordinating federated MDM implementations across multiple business domains.
Experience leading enablement efforts for data stewards or similar federated governance communities.
Experience scaling governance without large centralized teams.
Hands-on experience with Databricks Unity Catalog for access control, lineage, classification, and auditability.
Experience overseeing or implementing Master Data Management (MDM) solutions and matching strategies in complex enterprises.
Experience designing or operating data ingestion, observability, and data quality frameworks.
Experience partnering effectively with Data Product Leads and business data stewards.
Familiarity with regulated environments such as biotech, pharma, or healthcare.

SmartExplore AI is experimental.