A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions.

Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.

Responsibilities:

• Develop advanced perception algorithms , Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities.
• Implement sensor fusion frameworks , Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness.
• Develop state estimation capabilities , Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation.
• Analyze and utilize sensor ICDs , Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization.
• Optimize perception performance , Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments.
• Support autonomy integration , Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules.
• Validate in simulated and operational settings , Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness.
• Collaborate with hardware and sensor teams , Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads.
• Drive innovation in airborne sensing , Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments.
• Travel Requirement , Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).

Required Qualifications:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
• Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience
• Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models
• Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches
• Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications
• Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs
• Proficiency with version control, debugging, and test-driven development in cross-functional teams
• Ability to obtain a SECRET clearance

Preferred Qualifications:

• Hands-on integration or algorithm development with airborne sensing systems
• Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks
• Experience deploying perception software on SWaP-constrained platforms
• Familiarity with validating perception systems during flight test events or operational environments
• Understanding of sensing challenges in denied or degraded conditions
• Exposure to perception applications across air, maritime, and ground platforms

$182,720 - $274,080 a year

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Key responsibilities include:

• Working independently within multi-disciplinary teams to significantly grow our business for a full portfolio of simulation products, particularly within the Aerospace and Defence sector.
• Demonstrating profound technical mastery and knowledge of engineering simulation techniques, specifically within aerospace domains, to provide the highest level of technical support to customers, ensuring high-quality and timely service.
• Regularly interacting with aerospace customers to understand their solution needs, key business initiatives, and engineering design workflows, addressing their requirements for solutions during design and engineering stages.
• Leading complex customer engagements throughout the sales opportunity lifecycle, interacting with key customers to understand their technology needs, key business initiatives, engineering design workflows, and articulate our value proposition to Director or C-level audiences.
• Gathering and documenting relevant metrics to demonstrate the impact of technical engagements and proposed solutions.
• Gathering customer requirements to support the continuous improvement of our software and collaborate with product development teams to translate customer requirements into new product capabilities, guiding the product roadmap.
• Participating in internal corporate initiatives to share knowledge and to create best practices, both within and outside the Aerospace discipline.
• Mentoring junior application engineers, fostering their technical growth and customer-facing skills.
• Supporting field and digital marketing efforts, including authoring conference presentations, technical papers, and webinars relevant to aerospace applications.

As a Staff Engineer, you will have the opportunity to make a significant impact on our business and contribute to the growth of Synopsys' market share in mission engineering applications.

Requirements include:

• Bachelor's, Master's, or PhD in Aerospace/Astronautical/Mechanical/Electrical Engineering, or a closely related field.
• 4-5 years of hands-on experience in modelling and simulation of complex aerospace systems.
• Fluency in writing and speaking both German and English.
• Competency in Object Oriented Programming (OOP) and familiarity with Python, MATLAB, C#, Java.
• Familiarity with Communications, Radars, & Sensors Systems (RF propagation, link analysis, jamming/interference, detection and tracking).
• Demonstrated understanding of aerospace engineering practices, product development lifecycles, experience with building solutions using simulation technology, and deploying those solutions within customers' engineering workflows.
• Knowledge of Multiphysics tools (e.g. structural, fluid dynamics, electromagnetics, thermal, etc).
• Track record of delivering exceptional customer outcomes and contributing to revenue impact with A&D industry.
• Ability to organize and drive multiple complex projects across geographically diverse locations.
• Ability to travel up to 30% of the time.
• Demonstrated use of Ansys DME software (STK, ODTK) is preferred.
• Understanding of Model-Based Systems Engineering is preferred.

Preferred qualifications include familiarity with Astrodynamics (orbital mechanics, trajectory optimization) and/or Flight Dynamics (aircraft stability and control, aerodynamic performance).

As a successful candidate, you will have excellent communication skills, be customer-centric, and have a consultative approach with strong relationship-building skills. You will also be a team player, collaborative, and supportive of global colleagues. You will have strong leadership and mentoring skills, analytical thinking, and problem-solving abilities. You will be proactive, open to new technologies and industry developments, and have logical problem-solving skills with the ability to facilitate and conduct webinars and presentations to customers and a wide range of audiences.

The team you will be part of is a dynamic, globally distributed team focused on advancing model-based engineering within the defense sector. Our team covers mission engineering topics worldwide, working collaboratively to increase the adoption and impact of Synopsys Digital Mission Engineering software. Together, we drive innovation, share knowledge, and deliver solutions that empower our customers to achieve their missions.

Rewards and benefits include a comprehensive range of health, wellness, and financial benefits to cater to your needs. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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