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Network Engineer Management

Edison,NJ

797 Network Engineer Management jobs in Edison,NJ

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Senior Data Product Engineer, Commercial

Genmab

Plainsboro, NJ 08536

RemoteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 5+ years in data engineering, analytics engineering, or data platform development.
  • 10+ years of experience IT with some in Biotech/Pharma industry
  • Expert-level proficiency in:
  • **DBT:** advanced macros, Jinja, testing, exposures, dbt Cloud deployment.
  • **Databricks:** Spark (PySpark, SQL), Delta Lake, Unity Catalog.
  • **Snowflake**
  • **AWS: S3, Glue, Lambda, Step Functions, Datasync, EMR, Redshift, IAM and networking/security fundamentals.**
  • **Data Visualization:** Power BI or Tableau.
  • Strong programming background in Python and SQL (including query optimization).
  • Proven experience with distributed systems and large-scale datasets (TB scale).
  • Experience implementing CI/CD pipelines, data testing, and infrastructure as code.
  • Solid understanding of data governance, security, and compliance in enterprise environments.
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Lead Systems Engineer (HPC)

Princeton University

Princeton, NJ 08542

~ 37 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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AI Systems Lab- Test Engineering Technician

Advanced Micro Devices

Secaucus, NJ 07094

~ 37 min OnsiteUrgently Hiring

  • Hands on experience testing and troubleshooting semiconductor GPUs, switches and CPUs in a semiconductor lab environment or reliability testing facility.
  • Previous experience working on server racks and datacenter.
  • Experience with MS Excel and PowerPoint
  • Demonstrated effective and collaborative communication and teamwork experience
  • Experience and ability to work autonomously and also collaboratively within a team environment to support Lab teams, Engineering, NPI, and Services
  • Work with lab tools (e.g.: diagnostics, tests, and standard semiconductor industry hardware and software)
  • Experience with Windows Server OS
  • Experience with Linux PXE services a plus
  • High attention to detail, and commitment to safety, quality, and continuous improvement
  • Associate's degree in Electronics, Information Technology or related, or an or equivalent combination of education and experience is preferred
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Associate or Senior Associate, Fixed Assets / Cost Segregation Engineer (AMCS) (NYM)

KPMG

New York, NY 10025

~ 48 min OnsiteUrgently HiringHealth InsuranceRetirement Benefit

  • Minimum one year of recent experience in an engineering firm, corporation, or publicaccounting firm; background in cost segregation, fixed asset consulting, construction, engineering, or a related technical field is preferred
  • Bachelor's degree from an accredited college/university in engineering, architecture, construction management, or a closely related discipline is required
  • Understanding of construction processes and building systems, and how project costs translate into asset classifications
  • Basic knowledge of federal income tax depreciation principles and accounting for capital expenditures, or a demonstrated interest in developing this skillset
  • Experience reviewing technical drawings, construction documentation, or large project cost datasets
  • Strong proficiency in Excel (such as advanced formulas, pivot tables, lookups) and experience working with structured data from financial or operational systems; demonstrated experience or strong aptitude with data wrangling/automation tools (such as, Power Query, Alteryx), business intelligence tools (such as Power BI, Tableau), or query/scripting languages (such as SQL, Python, R)
  • Applicant 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)
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Head of AlphaGen - Investor Research Product Engineering, Director

Blackrock

New York, NY 10025

~ 48 min OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Computer Science, Engineering, or a related field; or equivalent practical experience
  • An advanced degree is a plus
  • Strategic Engineering Leadership: Proven experience leading large-scale engineering organizations through product transformation initiatives (e.g., platform modernization, cloud migration, operating model changes). Demonstrated success in setting vision and executing across complex, multi-year technology programs
  • Alpha generation workflows or closely related quantitative research processes in finance/investments
  • Cloud technologies and cloud-native architectural patterns (e.g., microservices, containerization, distributed computing e.g. Ray)
  • API-first platform design and developer experience best practices
  • AI/ML applications for workflow automation, data validation, and operational excellence
  • Modern stack knowledge and skills - e.g. Python, Polars, Ray, MLFlow or equivalent technology
  • Demonstrated strength in partnership-building and cross-functional collaboration
  • Able to influence and align product teams, platform/infrastructure teams, and governance bodies around a common vision and roadmap
  • Ability to operate in complex market and organizational contexts, translating strategic objectives into actionable plans
  • Proven track record of driving innovation, navigating ambiguity, and delivering measurable outcomes at scale
  • AI-First, Human-in-the-Loop: Embraces AI-driven solutions as a default for efficiency and scale, while keeping expert human judgment in critical loops to ensure quality and trust
  • Platform Over People: Prioritizes building robust platforms and automation over relying on individual heroic efforts, enabling sustainable and scalable growth
  • Single Front Door: Advocates for a unified user experience where researchers and stakeholders have one intuitive portal for all their needs, simplifying access and support
  • Standardization Everywhere: Drives consistency in tools, processes, and data across the board, reducing complexity and improving interoperability and maintainability
  • Self-Service as the Default: Champions self-service capabilities, empowering users to accomplish tasks independently (from data ingestion to model deployment) without bespoke engineering work
  • Deep Co-Ownership with PMG: Fosters a culture of partnership with the Portfolio Management Group, aligning closely on priorities, sharing roadmaps and KPIs, and co-owning outcomes to ensure the platform truly meets investment teams' needs
  • For New York, NY Only the salary range for this position is USD$225,000.00 - USD$285,000.00
  • Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits
  • BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance
  • 4 days in the office per week, with the flexibility to work from home 1 day a week
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Senior Manager, Machine Learning Engineering

Capital One

New York, NY 10001

New, Posted 1 day ago
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Port Engineer CSA (6778)

SubCom

Eatontown, NJ 07724

~ 37 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in marine field, Maritime Academy graduate preferred, or five years equivalent experience required
  • United State Coast Guard Chief Engineer unlimited license preferred
  • Diesel experience required; Cable Installation experience preferred
  • Past dry-dock or major repair supervisory experience preferred
  • Strong computer skills and working knowledge of Microsoft Office products required
  • Knowledge of ABS / AMOS / SHIPNET or similar software helpful
  • Knowledge and understanding of American Bureau of Shipping, United States Coast Guard and international regulations and protocols relating to company vessels required
  • Must be able to obtain a Transportation Workers Identification Credential (TWIC)
  • Written and verbal communications at all organizational levels in a clear and concise manner
  • Strong ability to manage multiple tasks requiring solid planning, control, review, and cost projection/variance analysis skills
  • Highly developed prioritization and organizational skills and attention to detail
  • High level of analytical skill and process management ability
  • Ability to drive long distances (up to 5 hours) and/or travel by air to various US ports possibly requiring overnight stays
  • Ability to board vessels in port (requires using a gangway with a grade of 30-60 degrees)
  • Ability to climb ladders and navigate over uneven surfaces during vessel visits
  • Ability to board vessels at anchor (climb a Jacob's ladder from a water taxi)
  • Possess good sensory perception (sight, smell, hearing, touch)
  • Ability to enter and inspect confined spaces
  • Willingness to remain accessible for communication and consultation on an around the clock basis and work unusual hours, including nights and weekends as required
  • Candidates for positions with SubCom must be legally authorized to work in the United States. Employment eligibility verification will be required at the time of hire.
  • Visa sponsorship is not available for this position.
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Principal Engineer - Python API Development

Fidelity Investments

Jersey City, NJ 07311

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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Engineer

Capital One

New York, NY 10001

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Business Development Manager, STEM Partnerships

Liberty Science Center

Jersey City, NJ 07305

OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • Valid driver's license (required)
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