694 Associate Principal Systems Engineer jobs in New Jersey

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Principal Engineer - Python API Development

Fidelity Investments

North Bergen, NJ 07047

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.

SmartExplore AI is experimental.

New, Posted 21 hours ago

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Principal, Program Management Excellence- Engineering

L3Harris Technologies

Camden, NJ 08101

Bilingual Preferred

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Principal Engineer - Python API Development

Fidelity Investments

Weehawken, NJ 07086

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.

SmartExplore AI is experimental.

New, Posted 23 hours ago

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Sr. Specialist, Systems Engineering (System/Software)

L3Harris Technologies

Camden, NJ 08103

OnsiteBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelors and minimum 6 years prior experience or Master's Degree with a minimum of 4 years' experience in Systems Engineering, Computer Engineering, Electrical Engineering, Mechanical Engineering, or related field.
At least 4 years of experience with systems engineering background, and knowledge of lifecycle and standards.
Experience with system engineering principles including requirements writing, modeling, and verification testing.
Experience with C programming and familiarity with Assembly.
Experience writing systems and software test procedures.
Knowledge of systems utilizing embedded software. Up to date on current Systems Engineering trends, technology, and tools (including DOORS and JIRA).
Proven track record of working through customer requirements to technical requirements to product solutions.
Experience reading PCB designs.
Working knowledge of standard system engineering processes such as: MIL-STD-499, EIA-632, IEEE 1220 or ISO 15288.
Technical writing experience, including experience generating and presenting technical documents to internal and external customers.
Ability to obtain and maintain a US Security Clearance.

SmartExplore AI is experimental.

New, Posted 8 hours ago

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Principal, Program Management Excellence- Engineering

L3Harris Technologies Careers

Camden, NJ 08105

Bilingual Preferred

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AI Systems Lab- Test Engineering Technician

Advanced Micro Devices

Secaucus, NJ 07094

Onsite

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

SmartExplore AI is experimental.

New, Posted 8 hours ago

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Sr. Specialist, Systems Engineering (System/Software)

L3Harris Technologies Careers

Camden, NJ 08105

Bilingual Preferred

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Chief Systems Engineer

L3 Harris

Clifton, NJ 07011

OnsiteBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree with a minimum of 12 years of prior related experience.
Graduate Degree with a minimum of 10 years of prior related experience.
In lieu of a degree, minimum of 16 years of prior related experience.
2 years of experience in Cameo and SysML v1
3 years experience with Agile development and using JIRA
Active Secret Security Clearance- Ability to obtain and maintain any additional clearances as required.

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Quality Engineer

DC Fabricators

Florence, NJ 08518

OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Engineering
Industrial or Mechanical Engineering preferred
2-5 years of experience in a heavy industrial or manufacturing environment preferred
Strong understanding of quality engineering principles and their application to manufacturing processes
Ability to identify quality issues in pre-production and recommend effective solutions
Strong analytical and problem-solving skills with the ability to perform statistical analysis
Ability to work collaboratively in a cross-functional team environment
Strong written and verbal communication skills
Excellent computer skills including working knowledge of ERP systems and Microsoft applications such as Word, Excel, and Outlook

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Lead Mechanical Engineer

Lockheed Martin

Moorestown, NJ 08057

OnsiteFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelors Degree in Engineering or related discipline with a minimum of 9 years' experience
Background in mechanical and some civil/architectural engineering disciplines, including mechanical, structural, and building automation systems
Proficiency in AutoCAD and Microsoft Office Suite (Excel, Word, PowerPoint), and MS Project software
This position requires a government security clearance, you must be a US Citizen for consideration
Clearance Level: Secret
Experienced in design, specification, and maintenance of HVAC equipment, domestic water systems, chilled water systems, deionized water systems, process piping, plumbing systems, fire suppression systems, sanitary water systems, and/or Automatic Temperature Control (ATC)'

SmartExplore AI is experimental.