1629 System Integration And Test Engineer jobs in Sayreville,NJ

10+ years implementing RCM and CbM/PdM methods with extensive knowledge of mechanical, electrical, plumbing, and fire suppression systems in commercial, manufacturing, laboratory, or distribution facilities
Proven experience operating building automation systems, energy management platforms, and CMMS/EAM systems with strong data analytics and capital planning capabilities
Background in multi-disciplinary projects applying system integration techniques across diverse asset types, with experience implementing Management Systems (ISO9001, ISO55001)
Exceptional ability to analyze incomplete data sets, deliver informed recommendations, and communicate complex technical information through clear written and oral reports
Strong Microsoft Excel proficiency for manipulating large data sets with systematic attention to detail and advanced organizational skills to balance multiple stakeholder requirements
Proven training, coaching, and mentoring abilities using various tools and techniques while interpreting organizational goals into actionable departmental activities
Self-motivated collaborative leader with strong interpersonal skills who embraces change, develops innovative solutions, challenges the status quo, and works effectively without direct supervision
Practical experience developing and optimizing maintenance strategies, lifecycle costing, and total cost of ownership analysis

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Nuclear Engineer

U.S. Navy

Roselle Park, NJ 07204

New, Posted 1 hour ago

Lead Machine Learning Engineer

Disney Entertainment Television Careers

New York, NY 10025

$179,700-$225,000/yr

New, Posted 1 day ago

DiversityJobs

Technical Support Associate

supermicro

Jersey City, NJ 07310

New, Posted 1 day ago

DiversityJobs

Staff Software Engineer

Relativity

Newark, NJ 07175

New, Posted 2 hours ago

iHire

AI Engineer

Capital One

New York, NY 10001

New, Posted 19 hours ago

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

~ 55 min 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.