Lead business development, strategic client engagement, and market expansion across SAIC's FAA Mission Systems portfolio, driving qualified pipeline growth and major contract wins.
Responsibilities
Lead business development and strategic client engagement for FAA Mission Systems portfolio
Drive growth within aerospace, aviation technology, or federal government contracting industry
Accountable for qualified pipeline growth, new business bookings, strategic captures, and business expansion
Requirements
Bachelors degree
Masters degree
Nice to have: Senior executive experience within the FAA (Air Traffic Organization)
Develops new and/or integrates existing system simulation frameworks, performance models and algorithms, threat models and command and control models. Simulates real-time operations and develops software that simulates behavior of systems. Develops integrates and uses advanced graphical user interfaces and visualization tools. Models operational environments, performs trade studies via computer simulation and recommends alternative architectures. Performs operational analysis and mission effectiveness analysis.
Compensation
Salary Range: $84,000.00 to $106,000.00
Responsibilities
Develops new and/or integrates existing system simulation frameworks, performance models and algorithms, threat models and command and control models
Simulates real-time operations and develops software that simulates behavior of systems
Develops integrates and uses advanced graphical user interfaces and visualization tools
Models operational environments, performs trade studies via computer simulation and recommends alternative architectures
Performs operational analysis and mission effectiveness analysis
Lead quality assurance and physical test functions for autonomous systems, building automated test and evaluation capabilities, defining strategy, standards, KPIs, and ensuring readiness before deployment.
Locations (2)
New Haven, Connecticut, United States
United States
Compensation
Compensation for this position includes a target base salary of $170,000 - $210,000 annually, with the specific figure determined by the candidate's experience level.
Responsibilities
Set the strategy for testing across automated suites, simulation, and system-level tests
Build the QA machinery and automated test capability
Score the system with end-to-end scenarios
Develop and own test KPIs and readiness criteria
Set criteria for physical test entry and final sign-off
Requirements
BS in Computer Science, Engineering, or a related technical field, or equivalent hands‑on experience
Nice to have: ML model evaluation
Machine Learning & Data Engineer, Vehicle Modeling
Develop machine learning and data infrastructure to improve vehicle models and support autonomous driving development.
Responsibilities
Develop machine learning and hybrid physics-data approaches to improve vehicle and component model accuracy.
Develop methods for model calibration, parameter estimation, adaptive modeling, and data-driven model improvement across different vehicle states and operating conditions.
Build scalable workflows for comparing model predictions with test, simulation, and real-world vehicle data and identifying opportunities for model improvement.
Build pipelines for ingesting, cleaning, synchronizing, transforming, storing, and accessing large-scale vehicle telemetry and time-series data.
Develop cloud-based infrastructure for data processing, model training, simulation, evaluation, and validation.
Support critical government research and development programs related to microelectronics design and verification, developing next-generation microelectronic designs critical to national interests.
Compensation
The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD).
Responsibilities
Perform verification by applying commercial best-practices to IP and block level designs using state of the art tools and techniques
Research and implement new and novel approaches for verification in the unique DoD design environment
Provide technical management support and strategic assessments of new technologies to support senior DoD decisionmakers
Produce and present findings and recommendations to a team of colleagues and clients
Assist with technical program management and program development
Requirements
Bachelor’s degree in EE or Computer Engineering
Master's degree in EE or Computer Engineering preferred
Doctorate degree in EE or Computer Engineering a plus
Help shape how the next generation of industrial robots is engineered, trained and brought to life. Drive the evolution of ABB Robotics’ integrated toolchain for industrial Physical AI, defining product strategy for a scalable, commercially sustainable software portfolio.
Responsibilities
Define portfolio strategy and drive growth
Drive RobotStudio’s journey towards autonomous engineering for Physical AI
Turn technology into adopted products
Advance agent-assisted engineering
Drive product execution
Requirements
Bachelor’s or Master’s degree in engineering, computer science, robotics, automation, or a related technical discipline
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