1010 Aerospace Engineer jobs in Newark,NJ

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Director of Engineering

Marine Electric Systems

South Hackensack, NJ 07606

~ 26 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Electrical Engineering or a closely related engineering discipline.
Significant experience in electrical engineering, sustaining engineering, production engineering, test engineering, or engineering leadership in a manufacturing environment.
Strong hands-on technical knowledge of electrical and electromechanical systems.
Experience with PCB troubleshooting, electrical testing, components, assemblies, and production support.
Ability to read and interpret drawings, schematics, specifications, technical data packages, and test procedures.
Experience supporting manufacturing, production, repair, or sustainment work.
Ability to make practical engineering decisions with imperfect information.
Strong communication skills and ability to work cross-functionally with production, quality, procurement, sales, and leadership.
Demonstrated ability to mentor junior engineers or technical staff.
Strong organizational skills and ability to create structure in a fast-moving small-company environment.

SmartExplore AI is experimental.

New, Posted 1 day ago

Software Engineer II

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$117,500-$157,500/yr

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IT Systems Administration JOB Training Program

Year Up United

New York, NY 10261

$525/wk

~ 30 min Onsite

A high school graduate or GED recipient
Eligible to work in the U. S.
Highly motivated to learn technical and professional skills
Have not obtained a Bachelor's degree
You may be required to answer additional screening questions when applying

SmartExplore AI is experimental.

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Information Technology Professional (IT Support)

U.S. Navy

East Newark, NJ 07029

New, Posted 1 day ago

Staff Software Engineer - ServiceNow ITAM

The Walt Disney Company (Corporate) Careers

New York, NY 10025

$148,300-$198,800/yr

New, Posted 8 hours ago

Senior Distinguished Engineer, AI Compute (Remote Eligible)

Capital One

New York, NY 10012

Remote

Principal Quant Developer (MLOps)

Fidelity Investments

Belleville, NJ 07109

~ 16 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field and six (6) years of experience as a Senior Quant Developer or similar role.
Alternatively, a Master's degree (or equivalent foreign education) in the same fields, accompanied by four (4) years of experience as a Lead Quantitative Development or similar role.
This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques.
Expert in Python with experience across the development stack (full stack)
Exposure to object-oriented programming (OOP) and design patterns
Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability
Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask)
Proven ability to construct and manage robust data pipelines and event-driven workflows
Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2
Experience in containerization with Docker and orchestration with Kubernetes
Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning)
Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models
Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics
Awareness of responsible AI governance practices
Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset
Demonstrated knowledge of mathematics, statistics, and quantitative finance
Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis
Analyze and design systems to implement quantitative models for systematic financial investments using R and Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms
Domain knowledge in either equities, fixed income or alternative asset classes
Progress towards CFA (or equivalent) a plus