Jad Nohra
Principal Autonomy Engineer - Autonomous Safety Functions at FERNRIDE- Claim this Profile
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English Full professional proficiency
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German Limited working proficiency
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French Limited working proficiency
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Czech Elementary proficiency
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Arabic Limited working proficiency
Topline Score
Bio
Joseph Poczatek
I had the good fortune of working closely with Jad while at Argo AI. His breadth of knowledge and ability to cut to the heart of complex problems made Jad an integral part of both the simulation and systems engineering, integration, and test (SEIT) teams. Jad’s most notable skill is his ability to grasp, reason about, and progress many complex topics at once. He simultaneously advanced the state-of-the-art in AV test strategy, simulation model fidelity, and traffic modeling. He did this by diving into the issues, defining plans, and motivating his teams. As a leader, Jad has a unique ability to recognize and foster the capabilities of his colleagues. I experienced this first hand as a part of his team to improve the fidelity of the tracking model used in simulation. With Jad’s guidance, we were able to produce key results on a large technical activity in weeks rather than multiple quarters. His streamlined approach to project management allowed the group to spend most of our time on design and implementation with limited but sufficient organization overhead. He is a systems thinker with the ability to apply his expertise in mathematics and statistics to testing strategy. He quickly identified issues with discrete sample-based test strategies and worked to close the gap through more meaningful scenario variations. He reasoned that discrete input sampling was prone to miss meaningful failures when the sampling was sparse relative to the volume the input space leading to that failure. He devised fuzzing-based methods to fill gaps between discrete samples and improve test coverage without excessive test burden. His proposals were both practical and effective. I’m confident in saying that Jad was one of the most committed and greatest contributors to the safety of the product. Jad successfully turned system analysis into actionable plans to improve both simulation and the system under test. He defined the modeling roadmap for all key AV simulation surrogates as well as the traffic model for all other actors in the simulated scene. Jad tied everything together into a cohesive validity framework - the foundation for all claims made from simulation results. This work also served as the playbook on when simulation is an appropriate method to test a specific feature or scenario. I’ve had few colleagues that I’ve enjoyed working with more than Jad. He is polite, considerate and personable in all his interactions. He is a constructive mentor, thoughtful leader, and collaborative teammate. This is perfectly balanced with his willingness to challenge existing methods and propose alternate solutions when improvements are necessary. Given the examples above and many more not listed, I strongly recommend Jad for a number of roles. He is capable of performing as an individual contributor and leader in software or systems engineering. He’s a problem solver. I learned a great deal working with Jad and he would be an impactful addition to any team.
Néstor Subirón-Montoro
I had the pleasure of having Jad as a manager in two different organizations, working in the simulation teams of both AID and Argo AI. His ability to be objective in every circumstance stands out, he has impressive in-depth technical knowledge as well as a great understanding of the simulation product and needs. As a manager, he strives to find the best workflows and keep the team pragmatic and efficient, focusing on what matters, always leading by example. He also cares a lot about the people working under him, he is always very empathic and honest, and his insightful advice has helped me a lot to grow professionally over the past years. Jad earns my highest recommendation, he is an excellent leader.
Joseph Poczatek
I had the good fortune of working closely with Jad while at Argo AI. His breadth of knowledge and ability to cut to the heart of complex problems made Jad an integral part of both the simulation and systems engineering, integration, and test (SEIT) teams. Jad’s most notable skill is his ability to grasp, reason about, and progress many complex topics at once. He simultaneously advanced the state-of-the-art in AV test strategy, simulation model fidelity, and traffic modeling. He did this by diving into the issues, defining plans, and motivating his teams. As a leader, Jad has a unique ability to recognize and foster the capabilities of his colleagues. I experienced this first hand as a part of his team to improve the fidelity of the tracking model used in simulation. With Jad’s guidance, we were able to produce key results on a large technical activity in weeks rather than multiple quarters. His streamlined approach to project management allowed the group to spend most of our time on design and implementation with limited but sufficient organization overhead. He is a systems thinker with the ability to apply his expertise in mathematics and statistics to testing strategy. He quickly identified issues with discrete sample-based test strategies and worked to close the gap through more meaningful scenario variations. He reasoned that discrete input sampling was prone to miss meaningful failures when the sampling was sparse relative to the volume the input space leading to that failure. He devised fuzzing-based methods to fill gaps between discrete samples and improve test coverage without excessive test burden. His proposals were both practical and effective. I’m confident in saying that Jad was one of the most committed and greatest contributors to the safety of the product. Jad successfully turned system analysis into actionable plans to improve both simulation and the system under test. He defined the modeling roadmap for all key AV simulation surrogates as well as the traffic model for all other actors in the simulated scene. Jad tied everything together into a cohesive validity framework - the foundation for all claims made from simulation results. This work also served as the playbook on when simulation is an appropriate method to test a specific feature or scenario. I’ve had few colleagues that I’ve enjoyed working with more than Jad. He is polite, considerate and personable in all his interactions. He is a constructive mentor, thoughtful leader, and collaborative teammate. This is perfectly balanced with his willingness to challenge existing methods and propose alternate solutions when improvements are necessary. Given the examples above and many more not listed, I strongly recommend Jad for a number of roles. He is capable of performing as an individual contributor and leader in software or systems engineering. He’s a problem solver. I learned a great deal working with Jad and he would be an impactful addition to any team.
Néstor Subirón-Montoro
I had the pleasure of having Jad as a manager in two different organizations, working in the simulation teams of both AID and Argo AI. His ability to be objective in every circumstance stands out, he has impressive in-depth technical knowledge as well as a great understanding of the simulation product and needs. As a manager, he strives to find the best workflows and keep the team pragmatic and efficient, focusing on what matters, always leading by example. He also cares a lot about the people working under him, he is always very empathic and honest, and his insightful advice has helped me a lot to grow professionally over the past years. Jad earns my highest recommendation, he is an excellent leader.
Joseph Poczatek
I had the good fortune of working closely with Jad while at Argo AI. His breadth of knowledge and ability to cut to the heart of complex problems made Jad an integral part of both the simulation and systems engineering, integration, and test (SEIT) teams. Jad’s most notable skill is his ability to grasp, reason about, and progress many complex topics at once. He simultaneously advanced the state-of-the-art in AV test strategy, simulation model fidelity, and traffic modeling. He did this by diving into the issues, defining plans, and motivating his teams. As a leader, Jad has a unique ability to recognize and foster the capabilities of his colleagues. I experienced this first hand as a part of his team to improve the fidelity of the tracking model used in simulation. With Jad’s guidance, we were able to produce key results on a large technical activity in weeks rather than multiple quarters. His streamlined approach to project management allowed the group to spend most of our time on design and implementation with limited but sufficient organization overhead. He is a systems thinker with the ability to apply his expertise in mathematics and statistics to testing strategy. He quickly identified issues with discrete sample-based test strategies and worked to close the gap through more meaningful scenario variations. He reasoned that discrete input sampling was prone to miss meaningful failures when the sampling was sparse relative to the volume the input space leading to that failure. He devised fuzzing-based methods to fill gaps between discrete samples and improve test coverage without excessive test burden. His proposals were both practical and effective. I’m confident in saying that Jad was one of the most committed and greatest contributors to the safety of the product. Jad successfully turned system analysis into actionable plans to improve both simulation and the system under test. He defined the modeling roadmap for all key AV simulation surrogates as well as the traffic model for all other actors in the simulated scene. Jad tied everything together into a cohesive validity framework - the foundation for all claims made from simulation results. This work also served as the playbook on when simulation is an appropriate method to test a specific feature or scenario. I’ve had few colleagues that I’ve enjoyed working with more than Jad. He is polite, considerate and personable in all his interactions. He is a constructive mentor, thoughtful leader, and collaborative teammate. This is perfectly balanced with his willingness to challenge existing methods and propose alternate solutions when improvements are necessary. Given the examples above and many more not listed, I strongly recommend Jad for a number of roles. He is capable of performing as an individual contributor and leader in software or systems engineering. He’s a problem solver. I learned a great deal working with Jad and he would be an impactful addition to any team.
Néstor Subirón-Montoro
I had the pleasure of having Jad as a manager in two different organizations, working in the simulation teams of both AID and Argo AI. His ability to be objective in every circumstance stands out, he has impressive in-depth technical knowledge as well as a great understanding of the simulation product and needs. As a manager, he strives to find the best workflows and keep the team pragmatic and efficient, focusing on what matters, always leading by example. He also cares a lot about the people working under him, he is always very empathic and honest, and his insightful advice has helped me a lot to grow professionally over the past years. Jad earns my highest recommendation, he is an excellent leader.
Joseph Poczatek
I had the good fortune of working closely with Jad while at Argo AI. His breadth of knowledge and ability to cut to the heart of complex problems made Jad an integral part of both the simulation and systems engineering, integration, and test (SEIT) teams. Jad’s most notable skill is his ability to grasp, reason about, and progress many complex topics at once. He simultaneously advanced the state-of-the-art in AV test strategy, simulation model fidelity, and traffic modeling. He did this by diving into the issues, defining plans, and motivating his teams. As a leader, Jad has a unique ability to recognize and foster the capabilities of his colleagues. I experienced this first hand as a part of his team to improve the fidelity of the tracking model used in simulation. With Jad’s guidance, we were able to produce key results on a large technical activity in weeks rather than multiple quarters. His streamlined approach to project management allowed the group to spend most of our time on design and implementation with limited but sufficient organization overhead. He is a systems thinker with the ability to apply his expertise in mathematics and statistics to testing strategy. He quickly identified issues with discrete sample-based test strategies and worked to close the gap through more meaningful scenario variations. He reasoned that discrete input sampling was prone to miss meaningful failures when the sampling was sparse relative to the volume the input space leading to that failure. He devised fuzzing-based methods to fill gaps between discrete samples and improve test coverage without excessive test burden. His proposals were both practical and effective. I’m confident in saying that Jad was one of the most committed and greatest contributors to the safety of the product. Jad successfully turned system analysis into actionable plans to improve both simulation and the system under test. He defined the modeling roadmap for all key AV simulation surrogates as well as the traffic model for all other actors in the simulated scene. Jad tied everything together into a cohesive validity framework - the foundation for all claims made from simulation results. This work also served as the playbook on when simulation is an appropriate method to test a specific feature or scenario. I’ve had few colleagues that I’ve enjoyed working with more than Jad. He is polite, considerate and personable in all his interactions. He is a constructive mentor, thoughtful leader, and collaborative teammate. This is perfectly balanced with his willingness to challenge existing methods and propose alternate solutions when improvements are necessary. Given the examples above and many more not listed, I strongly recommend Jad for a number of roles. He is capable of performing as an individual contributor and leader in software or systems engineering. He’s a problem solver. I learned a great deal working with Jad and he would be an impactful addition to any team.
Néstor Subirón-Montoro
I had the pleasure of having Jad as a manager in two different organizations, working in the simulation teams of both AID and Argo AI. His ability to be objective in every circumstance stands out, he has impressive in-depth technical knowledge as well as a great understanding of the simulation product and needs. As a manager, he strives to find the best workflows and keep the team pragmatic and efficient, focusing on what matters, always leading by example. He also cares a lot about the people working under him, he is always very empathic and honest, and his insightful advice has helped me a lot to grow professionally over the past years. Jad earns my highest recommendation, he is an excellent leader.
Credentials
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The Complete Masterclass On Essential Management Skills
UdemyJan, 2019- Nov, 2024 -
Analytical Aptitude Assessment
AryngDec, 2018- Nov, 2024 -
Deep Learning Prerequisites: Logistic Regression in Python
UdemyJan, 2016- Nov, 2024 -
Machine Learning A-Z™: Hands-On Python & R In Data Science
UdemyJan, 2016- Nov, 2024
Experience
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FERNRIDE
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Germany
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Transportation, Logistics, Supply Chain and Storage
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1 - 100 Employee
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Principal Autonomy Engineer - Autonomous Safety Functions
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Jan 2023 - Present
Leading and managing the team responsible for perception-based autonomous safety critical functions, which are essential for the removal of the safety driver. Leading and managing the team responsible for perception-based autonomous safety critical functions, which are essential for the removal of the safety driver.
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Argo AI
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United States
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Motor Vehicle Manufacturing
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700 & Above Employee
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Engineering Manager - Autonomous Vehicle Test Strategy
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May 2022 - Dec 2022
I was offered to lead the testing strategy due to my internal contributions to the topic. I started working on a strategy that is pragmatic, efficient, iterative, convincing, and knits together the knowledge of autonomy, simulation, virtual testing, and systems engineering, filling the many gaps contained in a still immature and underspecified SOTIF standard.
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Staff Software Engineer and Team Lead - Simulation Modeling and Validation
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Jun 2021 - May 2022
I was the main driver for the Argo simulation validation effort. In that role, I bootstrapped the topic, obtained management buy-in, as well as buy-in from technical leads of autonomy teams (motion control, prediction, motion planning) and systems engineering (SOTIF, Function safety). I assembled a team focused on the topic, including tight collaboration with systems engineers. I set goals and roadmaps, then contributed significantly to the execution, producing a software model library with clear validity boundaries, supported by a mix of theoretical and empirical arguments. This included a compute mode, a vehicle model, a traffic model, a scenario generation model (patent pending), an AV sensing model, as well as multiple specialized tools.The results were used internally, but also presented to our partner OEMs (Volkswagen, Ford), and were going to be used to satisfy the European Union autonomous vehicle simulation validity requirements. Show less
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Autonomous Intelligent Driving GmbH
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Germany
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Motor Vehicle Manufacturing
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1 - 100 Employee
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Simulation Area Tech Lead - Autonomous Vehicles
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Apr 2018 - Jun 2020
Built and led 4 virtual testing/simulation related teams with a total of 20 engineers (50% PhD, 13 years experience on average), until an acquisition by Argo AI in the context of a VW-Ford partnership. Topics were: SIL framework for full stack replay and simulation, traffic simulation, environment and sensor simulation, scenario-based diagnostics and tooling Tasks included: Vision, strategy, roadmap, planning and execution, Team building, empowering people, technical leadership, engineering management, getting hands dirty and things done, code or otherwise, prototyping, technology scouting and partner management. Show less
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Microsoft
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United States
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Software Development
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700 & Above Employee
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Lead 'Destruction' Simulation (R&D) - Havok
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Jun 2017 - Mar 2018
As interim lead for Havok Destruction I did the following: Determination of requirements through data, interviews and surveys, identification of technically problematic features by technical proof, development of roadmap and presentation to stakeholders, maintenance through bug-fixing
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Real-time 'Physics' Simulation Specialist (R&D) - Havok
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Dec 2015 - Jun 2017
Worked on R&D prototypes related to the integration of the Havok physics engine into the augmented reality Hololens, resulting in a localization related patent. I also worked on prototyping a cloud-based distributed physics concept.
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Havok
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Ireland
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Computer Games
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1 - 100 Employee
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Real-time 'Physics' Simulation (R&D)
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Jun 2011 - Dec 2015
Worked on the Havok physics engine (Leading real-time rigid-body dynamics middleware) on the following topics: Low-level optimization (Vectorization, Multi-threading), Geometric queries, Numerical analysis, Numerical optimization (linear programming) in the context of physics solvers. Worked on the Havok physics engine (Leading real-time rigid-body dynamics middleware) on the following topics: Low-level optimization (Vectorization, Multi-threading), Geometric queries, Numerical analysis, Numerical optimization (linear programming) in the context of physics solvers.
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Guided Knowledge
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United Kingdom
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IT Services and IT Consulting
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1 - 100 Employee
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Consultant in Applied Mathematics, IMU sensors
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Jul 2015 - Sep 2015
Consulted 'Guided Knowledge' in the topic of nonlinear optimisation as applied to IMU sensor data. The result was the writing of a technical internal report that was used to steer certain decisions. Additionally, I wrote related python based tools. Consulted 'Guided Knowledge' in the topic of nonlinear optimisation as applied to IMU sensor data. The result was the writing of a technical internal report that was used to steer certain decisions. Additionally, I wrote related python based tools.
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Guerrilla
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Netherlands
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Computer Games
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200 - 300 Employee
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Senior AI programmer
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Sep 2009 - Jun 2011
For the AI of Killzone 3 (Acclaimed Playstation3 FPS) I worked on: AI and animation motion planning, navigation and behavior (humanoids, land and air vehicles), multiplayer AI bots, automated navigable space generation and tools, automated AI testing, Maya animation tooling. For the AI of Killzone 3 (Acclaimed Playstation3 FPS) I worked on: AI and animation motion planning, navigation and behavior (humanoids, land and air vehicles), multiplayer AI bots, automated navigable space generation and tools, automated AI testing, Maya animation tooling.
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AiGameDev.com
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Austria
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Computer Games
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1 - 100 Employee
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Freelance Programmer (AI R&D)
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Dec 2008 - Sep 2009
At AiGameDev, we aimed to build an open source framework for state of the art game AI. I was a main contributor to that framework, and worked on: Motion Graphs, Animation, Locomotion Planning, Reinforcement learning, A*, Hierarchical A*, Terrain Clustering, low level AI systems (logging, assertion, smart pointers) At AiGameDev, we aimed to build an open source framework for state of the art game AI. I was a main contributor to that framework, and worked on: Motion Graphs, Animation, Locomotion Planning, Reinforcement learning, A*, Hierarchical A*, Terrain Clustering, low level AI systems (logging, assertion, smart pointers)
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Senior Software Engineer
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Apr 2008 - Oct 2008
Worked on a Nintendo DS game engine, including graphics, optimization, gameplay, effects, audio. I also wroted the AI system for an 'stochastic with incomplete information' kind of game. Worked on a Nintendo DS game engine, including graphics, optimization, gameplay, effects, audio. I also wroted the AI system for an 'stochastic with incomplete information' kind of game.
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Co-Founding Programmer
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2006 - 2008
As technical co-founder, I co-designed and implemened the soccer game https://github.com/jadnohra/World-Of-Football from scratch in c++. This included low level systems, template libraries, math libraries, logging, custom micro-collision physics engine, sound system, fixed function rendering, mesh loading, mesh transforms, skeletal animation system, animation blending, neural network ball trajectory estimation, tactical pass interception, goalie behavior based on online real goalie coaching websites, exact non probabilistic goalie saves, data driven scenes, scene graph, space partitioning (KD, BSP, Oc, Quad trees), and more. Show less
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Senior Software Engineer
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2002 - 2003
Wrote a software suite for a stereoscopic screen. This included specialized OpenGL/DirectX wrappers and demo applications including video streaming. Wrote a software suite for a stereoscopic screen. This included specialized OpenGL/DirectX wrappers and demo applications including video streaming.
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Whitestein Technologies
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Switzerland
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Software Development
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1 - 100 Employee
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Software Engineer, Quality Engineer
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2001 - 2002
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Software Engineer
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1999 - 2001
Developed an online casino game engine in both C++/DirectX and java, both server and client side. Developed an online casino game engine in both C++/DirectX and java, both server and client side.
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Education
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Emporia State University
MS, Mathematics -
American University of Beirut
BE, Computer and Communications Engineering