1139 Systems Integration Engineer jobs in Voorhees,NJ

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Lead Systems Engineer (HPC)

Princeton University

Princeton, NJ 08542

~ 57 min OnsiteUrgently Hiring

10+ years of strong experience managing advanced research computing systems.
Strong expertise with Linux system administration, installation, and troubleshooting.
Advanced experience writing scripts in languages such as bash, Python and/or Perl.
Proficient in managing networking in HPC environments.
Strong experience managing software in an advanced research computing environment.
Experience supporting scheduling and managing jobs (SLURM) in large-scale computing environments.
Strong oral and written communication skills, with the ability to proactively engage peers and communicate effectively across a diverse stakeholder community.
Strong ability to solve complex and system infrastructure problems, and share expertise with colleagues at all levels.
Demonstrated ability to collaborate across teams to solve systems and infrastructure challenges, aligning day‑to‑day operational needs with longer‑term technical and organizational goals as technologies evolve.
When provided access to personal, proprietary and/or otherwise confidential data, maintain such data in the strictest confidence and follow procedures to ensure the privacy, security, and proper use of data.
Education: Bachelors degree in a related field or equivalent experience.

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New, Posted 1 day ago

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AI Engineer

Capital One

New York, NY 10001

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Principal Engineer - Python API Development

Fidelity Investments

Elizabeth, NJ 07202

~ 1 hr 26 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems
A track record of building production‑grade services, libraries, and internal platforms
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

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New, Posted 19 hours ago

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Lead Software Engineer - Data Streaming/Integration Platforms

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$155,700-$208,700/yr

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Manufacturing Engineer

Whippany Actuation Systems

Whippany, NJ 07981

$90,000-$110,000/yr

~ 1 hr 48 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

A bachelor's degree in manufacturing, Aerospace, or Mechanical Engineering from an accredited university or college;
One year of experience in a manufacturing environment which includes interpreting blueprints and familiarity with GD&T;
Previous experience with CAD systems;

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New, Posted 17 hours ago

DiversityJobs

Senior PCB Layout Engineer

CIENA

New Providence, NJ 07974

Flexible Schedule

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Quality Control Engineer III (Hybrid - New York, NY)

Energy Solutions

New York, NY 10279

New, Posted 1 hour ago

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

~ 1 hr 47 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

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New, Posted 1 day ago

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Human Resources Technology Data Engineer

LHH US

New York, NY 10025

$85-$100/hr

Hybrid~ 1 hr 47 minHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Engineering, or a related field.
5-8 years of professional software engineering experience.
Proven track record of hands on development in enterprise scale systems, preferably in HR.
Strong proficiency in at least one core programming language (Python or Java).
Deep experience with relational databases, NoSQL stores, and complex query design.
Experience working with HR, people operations, or workforce analytics data, including sensitive data handling, HRIS integrations (e.g., Dayforce, Culture Amp, etc.), and secure data exchange patterns.
Demonstrated ability to build or support platforms involving employee lifecycle data, compensation structures, organizational hierarchies, and talent management workflows.

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Engineering Program Manager

Keurig Dr Pepper

New York, NY 10012

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree in Mechanical, Electrical, Industrial, or Chemical Engineering
8+ years of capital engineering project based experience.
Experience managing projects in the $100k -25 Million range
PMP certified or the ability to obtain certification within 12 months of employment.
Experience with technologies including CSD, Juices and Teas, Aseptic, manufacturing equipment including Fillers, Cappers, Conveyance, Packers, Palletizers, Control Systems, RO, and Batch/CIP systems.
Ability to travel for overnight travel +50%
Ability to work independently as a 100% remote employee.

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