2350 Process Simulation Optimization Engineer jobs in New York,NY

Enterprise Sales Engineer II, Spectrum Business

Spectrum

New York, NY 10010

OnsiteUrgently Hiring

High school diploma or equivalent from an accredited organization (GED)
Read, write, speak and understand English
Work closely with sales executives and proven knowledge of the sales cycle
Knowledge of Metro Ethernet technologies (EPL, EVPL, ELAN), LANs, WANs, email, DNS, TCP/IP, firewalls, VPNs and data security methods
Sales skills in presentation and proposal design
Understanding of networking technologies: TCP/IP, IP VPN, MPLS, VPLS, Ethernet, VoIP, SONET, DWDM
Familiarity with networking fundamentals: routers, switches, LAN, MAN, WAN, DS3, OC-x, CSU/DSU and CPE
Consultative approach with strong knowledge of converged multimedia applications
Experience with voice networking including VoIP, signaling protocols, PBX, and routing protocols: BGP, ISIS, OSPF, RIP and emerging technologies
Understanding of business drivers, industry trends and regulatory shifts in targeted vertical markets
Proficiency with MS Visio, Word, Excel, PowerPoint and MS Project
Valid driver's license, satisfactory driving record and auto insurance coverage

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Cyber Security Engineer

Chobani

New York, NY 10012

New, Posted 5 hours ago

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Process Engineer

GE Vernova

Parsippany, NJ 07054

New, Posted 1 day ago

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Senior DSP Software Engineer

CIENA

New Providence, NJ 07974

Flexible Schedule

New, Posted 20 hours ago

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Engineering Manager/Asst Chief

Westin Governor Morristown

Morristown, NJ 07960

New, Posted 20 hours ago

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Engineering Manager

ROW NYC

New York, NY 10036

New, Posted 6 hours ago

Director, Media Performance & Optimization

Gilder Search Group

New York, NY 10025

New, Posted 1 day ago

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Principal SI/PI Design Engineer

CIENA

New Providence, NJ 07974

Flexible Schedule

New, Posted 1 day ago

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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 1 day ago

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