Model Based Systems Engineer Technical Specialist Job at Arcfield (Camden, New Jersey)

Head of Systems Engineering

Own the system-level vision that turns first-of-a-kind fusion hardware into a co...

Location

United States , Madison

Salary:

Not provided

Realta Fusion Inc.

Expiration Date

Until further notice

Requirements

BS in Systems Engineering, Aerospace Engineering, Mechanical Engineering, or related technical discipline. Advanced degree preferred
15+ years systems engineering experience in complex hardware programs (aerospace, defense, energy, accelerators, research facilities)
5+ years leading systems engineering teams or serving as chief engineer on major programs
Demonstrated track record integrating multidisciplinary systems from requirements through commissioning
Deep expertise in systems engineering processes including requirements management, functional analysis, interface management, and V&V
Strong understanding of mechanical, electrical, and control systems to facilitate integration across disciplines
Proficiency with systems engineering tools (DOORS, Cameo, modeling and simulation)
Experience with Model-Based Systems Engineering (MBSE) approaches
Knowledge of systems safety analysis (FMEA, fault trees, hazard analysis)
Familiarity with technical reviews, configuration management, and engineering change processes

Job Responsibility

Define and maintain system architecture for fusion devices across experimental, pilot, and commercial product lines
Establish and manage technical requirements from physics performance through operational, safety, and regulatory constraints
Lead system decomposition and allocation of requirements to subsystems and components
Develop and maintain interface control documents across mechanical, electrical, plasma, and control systems
Drive design trades balancing performance, cost, schedule, manufacturability, and risk
Lead system integration activities ensuring subsystems work together to meet top-level requirements
Define verification and validation strategy including analysis, testing, inspection, and demonstration
Oversee commissioning and acceptance testing of fusion devices and major subsystems
Manage technical reviews (PDR, CDR, TRR) ensuring design maturity and readiness
Drive resolution of integration issues and interface conflicts across engineering disciplines

What we offer

Competitive compensation package, including equity stock options
Comprehensive benefits including health, dental, and vision insurance, plus a 401(k)
Flexible paid time off (PTO) to support work-life balance

Fulltime

Senior System Security Specialist

Assurit is currently seeking an experienced Senior System Security Specialist to...

Location

United States , Maryland

Salary:

Not provided

Assurit

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Information Security, Computer Science, Engineering, or a related discipline
or equivalent experience
Strong understanding of MLS concepts, including data classification, labeling, access control models, and trusted computing bases
Experience analyzing system architectures and identifying MLS-related risks and constraints
Strong communication skills with the ability to produce clear and accurate technical documentation
Proven ability to work across technical teams to solve complex security challenges
5+ years of specialized experience in: Defining computer security requirements for high-level or mission-critical applications
Evaluating approved security products for MLS applicability
Developing solutions to complex MLS problems

Job Responsibility

Analyze and define security requirements for Multilevel Security (MLS) architectures and applications
Evaluate approved security products and determine their applicability, strengths, and limitations in MLS environments
Develop technical solutions that address MLS challenges, including data separation, access control, labeling, policy enforcement, and system interoperability
Recommend enhancements to systems, architectures, or configurations based on MLS requirements and risk considerations
Review designs, requirements, and technical documentation to ensure alignment with MLS constraints and mission needs
Collaborate with engineering, security, and program teams to guide the secure development of high-level applications
Provide expert insights on MLS policies, system behaviors, and technical safeguards
Produce clear documentation, reports, and recommendations that support certification, accreditation, or audit activities
Support troubleshooting and problem resolution related to MLS constraints or system behavior

What we offer

medical and dental coverage
paid time off

Infrastructure Engineer - Network Specialist

We are currently recruiting an exciting opportunity on our IT Infrastructure tea...

Location

United Kingdom , London

Salary:

Not provided

Transact

Expiration Date

Until further notice

Requirements

A minimum of 5 years in a network infrastructure engineering role, ideally within Financial Services
Advanced experience with Azure Virtual Network (VNet) design (including subnetting, peering, and NSGs)
Extensive hands-on experience designing and managing Core and Top-of-Rack (ToR) switching environments, including resilience technologies like VSX or other MC-LAG protocols
Proven experience implementing network access control (NAC) and zero-trust principles
Working knowledge of configuration management and orchestration tools such as Ansible

Job Responsibility

Design, and deploy end-to-end network solutions, including LANs, WANs, WLAN and SD-WAN Solutions, both on-premise and within cloud infrastructure
Serve as the subject matter expert for all Azure networking components, leading integration, security, and governance efforts
Drive cross-functional collaboration, partnering closely with architecture, cybersecurity, and change delivery teams to ensure network designs and implementations are secure, compliant, and fully aligned with business and technical objectives
Drive network automation initiatives, identifying opportunities and implementing solutions (e.g. Ansible) to streamline provisioning, management, and monitoring
Manage and monitor networks, servers, and systems to ensure optimal performance. This includes troubleshooting network issues and performing regular maintenance and upgrades
Lead network security design and configuration to protect the organisation's data and systems, including setting up firewalls, VPNs, policy-based routing, and zero-trust network security principles
Translating High-Level Designs (HLDs) and business requirements into practical conceptual models, while taking full ownership for the creation, documentation, and implementation of detailed Low-Level Designs (LLDs)
Proactively managing the capacity and performance of the hybrid network infrastructure, with a focus on Data Center fabric scalability, and raising strategic design proposals for continuous improvement in line with business demands
Owning the network infrastructure lifecycle strategy, including vulnerability management, patching governance, and maintenance planning
Providing where necessary out of hours support of the IT systems

What we offer

company discretionary bonus
excellent pension contributions
an attractive staff share scheme
BUPA health insurance
buying and selling of annual leave
sponsorship of relevant professional qualifications

Fulltime

GNC Engineer IV - AI Applications

As a GNC Engineer IV, you will specialize in applying AI and machine learning te...

Location

United States , Mendon

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Robotics, Aerospace Engineering, Mechanical Engineering, or a related technical field
10+ years of experience as a GNC Engineer designing controls and localization algorithms, writing proposals, taking detailed documentation, and utilizing programming languages such as Python, C++, C, or ROS
Experience developing and deploying AI or machine learning models for robotics, controls, or dynamic systems
Strong understanding of machine learning techniques, data modeling, and model deployment workflows
Solid foundation in control theory, vehicle dynamics, navigation algorithms, or related GNC domains
Hands on experience with machine learning frameworks such as TensorFlow or PyTorch
Experience integrating models into real-time or near real-time systems and tuning for latency and performance
Strong analytical and problem-solving abilities with the ability to translate system behavior into technical solutions
Ability to collaborate effectively with interdisciplinary engineering teams and communicate technical concepts clearly

Job Responsibility

Develop AI driven guidance, navigation, and control algorithms that enhance autonomy, stability, and decision making for robotic vehicles
Integrate machine learning models with vehicle dynamics, sensor systems, and simulation environments to ensure realistic and reliable behavior
Embed AI based GNC capabilities into software products and platform level services while ensuring compatibility with perception, planning, and control modules
Convert trained models into production ready components such as services, APIs, or embedded libraries tailored for GNC use cases
Tune algorithms and models for real time performance, low latency, and reliability in safety critical robotics environments
Collaborate closely with robotics engineers, controls specialists, data scientists, and software developers to align model behavior with system requirements
Test and validate AI based GNC systems using simulation, hardware in the loop setups, and field testing to ensure accuracy, robustness, and predictable performance
Monitor deployed systems and refine algorithms, models, and tuning parameters to continuously improve control quality and autonomous performance

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

GNC Engineer IV - AI Applications

At ASI, we are revolutionizing industries with state-of-the-art autonomous robot...

Location

United States , Lehi

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Robotics, Aerospace Engineering, Mechanical Engineering, or a related technical field
10+ years of experience as a GNC Engineer designing controls and localization algorithms, writing proposals, taking detailed documentation, and utilizing programming languages such as Python, C++, C, or ROS
Experience developing and deploying AI or machine learning models for robotics, controls, or dynamic systems
Strong understanding of machine learning techniques, data modeling, and model deployment workflows
Solid foundation in control theory, vehicle dynamics, navigation algorithms, or related GNC domains
Hands on experience with machine learning frameworks such as TensorFlow or PyTorch
Experience integrating models into real-time or near real-time systems and tuning for latency and performance
Strong analytical and problem-solving abilities with the ability to translate system behavior into technical solutions
Ability to collaborate effectively with interdisciplinary engineering teams and communicate technical concepts clearly

Job Responsibility

Develop AI driven guidance, navigation, and control algorithms that enhance autonomy, stability, and decision making for robotic vehicles
Integrate machine learning models with vehicle dynamics, sensor systems, and simulation environments to ensure realistic and reliable behavior
Embed AI based GNC capabilities into software products and platform level services while ensuring compatibility with perception, planning, and control modules
Convert trained models into production ready components such as services, APIs, or embedded libraries tailored for GNC use cases
Tune algorithms and models for real time performance, low latency, and reliability in safety critical robotics environments
Collaborate closely with robotics engineers, controls specialists, data scientists, and software developers to align model behavior with system requirements
Test and validate AI based GNC systems using simulation, hardware in the loop setups, and field testing to ensure accuracy, robustness, and predictable performance
Monitor deployed systems and refine algorithms, models, and tuning parameters to continuously improve control quality and autonomous performance

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

Planning Engineer - AI Applications

As a Planning Engineer IV, you will focus on creating AI driven planning and dec...

Location

United States , Mendon

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Robotics, or a related technical field
10+ years of experience working as a software engineer utilizing Python, C++, and ROS
Experience developing AI or machine learning models for autonomous decision making or planning systems
Strong understanding of machine learning techniques, data modeling, and model deployment workflows
Hands on experience with motion planning, image processing, pathfinding, decision modeling, or related robotics planning domains
Experience integrating AI models into real time or near real time systems and tuning for performance
Strong analytical and problem-solving abilities with the ability to translate system behavior into technical solutions

Job Responsibility

Develop AI based planning and decision models that drive autonomous robot behavior, path selection, and task execution
Integrate planning algorithms with motion planning, control systems, simulation environments, and other robotics modules
Embed planning models into production systems and platform services while ensuring compatibility with perception, control, and safety modules
Convert trained planning models into production ready components such as services, APIs, or embedded libraries
Tune algorithms for real time performance, low latency, and reliability to meet safety critical and operational requirements
Collaborate with robotics engineers, controls specialists, data scientists, and software developers to align model behavior with system requirements
Test and validate planning systems using simulation, hardware in the loop, and field deployments to ensure predictable and robust autonomous performance
Monitor deployed planning systems and refine models, parameters, and integration points to continuously improve efficiency, safety, and effectiveness

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

Planning Engineer - AI Applications

At ASI, we are revolutionizing industries with state-of-the-art autonomous robot...

Location

United States , Lehi

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Robotics, or a related technical field
10+ years of experience working as a software engineer utilizing Python, C++, and ROS
Experience developing AI or machine learning models for autonomous decision making or planning systems
Strong understanding of machine learning techniques, data modeling, and model deployment workflows
Hands on experience with motion planning, image processing, pathfinding, decision modeling, or related robotics planning domains
Experience integrating AI models into real time or near real time systems and tuning for performance
Strong analytical and problem-solving abilities with the ability to translate system behavior into technical solutions

Job Responsibility

Develop AI based planning and decision models that drive autonomous robot behavior, path selection, and task execution
Integrate planning algorithms with motion planning, control systems, simulation environments, and other robotics modules
Embed planning models into production systems and platform services while ensuring compatibility with perception, control, and safety modules
Convert trained planning models into production ready components such as services, APIs, or embedded libraries
Tune algorithms for real time performance, low latency, and reliability to meet safety critical and operational requirements
Collaborate with robotics engineers, controls specialists, data scientists, and software developers to align model behavior with system requirements
Test and validate planning systems using simulation, hardware in the loop, and field deployments to ensure predictable and robust autonomous performance
Monitor deployed planning systems and refine models, parameters, and integration points to continuously improve efficiency, safety, and effectiveness

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

New

Senior/Principal R&D Systems Engineer - Advanced Space Systems

We are seeking an experienced Systems Engineer to join our Advanced Space System...

Location

United States , Albuquerque

Salary:

117500.00 - 235700.00 USD / Year

Sandia National Laboratories

Expiration Date

Until further notice

Requirements

Bachelor's degree in a relevant discipline and five (5) years of directly relevant experience, or an equivalent combination of directly relevant education and engineering or scientific experience
Ability to obtain and maintain both a DOE Q clearance and an SCI clearance, which may require a polygraph test
Proficiency with formal Systems Engineering process with a focus on architecture definition and requirement flow down phases
Self-motivated, positive, individual comfortable working in a diverse, fast-paced, results oriented environment
Proven experience with realization and delivery of high rigor designs
Demonstrated ability to use critical thinking and engineering principles when making technical decisions
Experience within the Aerospace industry and Space systems
Experience working with RF Systems and principles such as channel modeling, link budgets, filtering, etc.
Experience working in high security environments
Active DOE Q clearance or active DOE L security clearance with ability to obtain a DOE Q clearance

Job Responsibility

Build trust-based relationships and partner with internal and external organizations
Collaborate with a multidisciplinary team of engineers and domain specialists in the successful resolution of system related issues
Use systems engineering principles to identify and lead resolution to system level problems
Collaborate with subject matter experts to derive requirements
Provide critical review of designs, concepts, verification approaches, and verification data
Occasional travel may be required for this position

What we offer

Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance

Fulltime

Model Based Systems Engineer Technical Specialist

Arcfield

Location:
United States , Camden, New Jersey

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 20, 2025

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Model Based Systems Engineer Technical Specialist

Arcfield

Location:United States , Camden, New Jersey

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Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:December 20, 2025

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