78 Research Engineer jobs in the United Arab Emirates

Will be responsible for research and development in the areas of truck design for the manufacture of future generations of trucks. The position will involve applying and extending the latest understanding of mobility technology to meet the challenges of the fast development of the truck market.

• Lead new designs and materials with the Design Team.
• Application and development of material and process analysis and monitoring metrology.
• Identification and deployment of advanced technologies and designs for truck components.
• Manage the new designs and material requirements, analyzing test data obtained from these prototypes and providing feedback and design learning to the team.
• Application and development of test strategies and methods.

Responsibilities

• Lidar and Sensor Data Processing: Develop real-time algorithms for processing Lidar, laser, and point cloud data to detect, classify, and track objects.
• Deep Learning for 3D Perception: Design and optimize deep learning models (e.g., 3D YOLO, Point Net) for object detection and segmentation using point cloud data.
• Sensor Fusion and Computer Vision: Integrate data from Lidar, camera, and other sensors for enhanced perception and environment understanding.

• System Optimization: Implement algorithms optimized for real-time and edge deployment, focusing on performance, inference speed, and accuracy.
• Collaboration & Testing: Work with cross-disciplinary teams to integrate perception systems and rigorously test in real-world environments using SLAM and performance metrics like maps.

• Bachelor Degree in Electronics / Engineering
• +8-10 Years of work experience in Lidar

Arthur Lawrence is urgently looking for a Research Engineer for a client in Dubai, UAE. Kindly review the job requirements below. Your immediate application will enable us to place you successfully.

Must Have:

• 5+ years of experience in industrial research in manufacturing process / parts production
• Skilled in geometric modeling, 3D Designing,3D printing automation and Fab Lab
• In Depth knowledge of manufacturing, fabrication, testing parts, and application of additive manufacturing
• Hands-on experience with industrial/research with 3D designing and additive manufacturing
• Bachelor's degree in engineering or in related field

Nice to Have:

• Master's Degree in Science / Engineering or in related field

About Us:

Arthur Lawrence is a management and technology consulting firm providing enterprise-wide business transformation and business applications implementation services. Our in-depth technical knowledge and broad experience of working with world-class companies enables organizations to leverage our capabilities in developing winning strategies and cost-effective solutions.

We are an UN Women Empowerment Principal Signatory and are certified from National Minority Supplier Development Council.

Acknowledgements from Industry Peers:

• Winner of Entrepreneur 360 Award (2019).
• IAOP Award; Ranked in top 100 internationally.
• Arthur Lawrence ranked within the Inc 5000 twice in 2016 and 2017 as one of the fastest. Growing companies of America.
• Named one of the top ten fastest growing businesses in Houston in 2016.
• Ranked 25th in the HBJ s Fast 100 Private Companies Award in 2017.

We rely on the seven core values that we believe enable us to deliver quality for our consultants and clients: Education, Integrity, Value Creation, Collaboration, Best Client, Best People and Stewardship

Through strict adherence to these core values, we have achieved success beyond all documented forecasts and anticipation.

How much experience do you have in R&D?* Less than a year 2 Years More than 2 years 4 years

How much experience do you have in 3D Designing / 3D Printing?* 2 Years 3 Years 4 Years 5 years

Do you have Scopus indexed publication records?* Yes No

Arthur Lawrence is urgently looking for a Research Engineer for a client in Dubai, UAE. Kindly review the job requirements below. Your immediate application will enable us to place you successfully.

Must Have:

• 5+ years of experience in industrial research in manufacturing process / parts production
• Skilled in geometric modeling, 3D Designing,3D printing automation and Fab Lab
• In Depth knowledge of manufacturing, fabrication, testing parts, and application of additive manufacturing
• Hands-on experience with industrial/research with 3D designing and additive manufacturing
• Bachelor's degree in engineering or in related field

Nice to Have:

• Master's Degree in Science / Engineering or in related field

About Us:

Arthur Lawrence is a management and technology consulting firm providing enterprise-wide business transformation and business applications implementation services. Our in-depth technical knowledge and broad experience of working with world-class companies enables organizations to leverage our capabilities in developing winning strategies and cost-effective solutions.

We are an UN Women Empowerment Principal Signatory and are certified from National Minority Supplier Development Council.

Acknowledgements from Industry Peers:

• Winner of Entrepreneur 360 Award (2019).
• IAOP Award; Ranked in top 100 internationally.
• Arthur Lawrence ranked within the Inc 5000 twice in 2016 and 2017 as one of the fastest. Growing companies of America.
• Named one of the top ten fastest growing businesses in Houston in 2016.
• Ranked 25th in the HBJ s Fast 100 Private Companies Award in 2017.

We rely on the seven core values that we believe enable us to deliver quality for our consultants and clients: Education, Integrity, Value Creation, Collaboration, Best Client, Best People and Stewardship

Through strict adherence to these core values, we have achieved success beyond all documented forecasts and anticipation.

How much experience do you have in R&D?* Less than a year 2 Years More than 2 years 4 years

How much experience do you have in 3D Designing / 3D Printing?* 2 Years 3 Years 4 Years 5 years

Do you have Scopus indexed publication records?* Yes No

Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine. We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI. Job Description:

• You will work with the team to conduct cutting-edge research in AI, foundation models, and computational biology. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
• You will collaborate with the team on designing and executing large-scale experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.
• Additionally, you will work closely with AI/machine learning researchers and computational biologists to develop Genbio AI’s state-of-the-art biology foundation models and drive the research agenda to generate impact.

• Currently enrolled in a full-time master's or PhD (preferred) program in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field (preferably in the United States).
• A strong coder with excellent skills in C/C++ and Python.
• Fluent in deep learning frameworks like PyTorch (and/or JAX), Hugging Face (Datasets, Accelerate, Transformers, etc.), Megatron-LM, DeepSpeed, etc.
• Have a solid understanding of GPU, CPU, or other AI accelerator architectures.
• Familiar with LLM (and/or other foundation model) architectures (such as attention mechanisms, state-space models, MoE, etc.) and training infrastructure (e.g., large-scale GPU clusters).
• Have experience improving ML accuracy using low-precision formats.
• Have 1+ years of relevant industry experience.
• Derive a great deal of satisfaction from every percentage point of performance improvement.
• Have experience writing and optimizing compute kernels using CUDA or similar languages.

• Current PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing, Compilers, or other systems.
• Co-optimizing computing infrastructure and deep learning frameworks for optimal performance on specific workloads. Identify and resolve performance bottlenecks through profiling and system analysis.
• Experience collaborating with data scientists and machine learning engineers to integrate distributed training capabilities into GenBio AI’s model development and deployment frameworks.
• Proficient in Python with experience in GPU-accelerated libraries (e.g., CUDA, cuDNN).
• Knowledge of performance profiling and optimization tools for HPC and deep learning.

Join us as we embark on this journey to redefine the future of biology and medicine. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr

Join to apply for the Senior Research Engineer role at Analog AI

Get AI-powered advice on this job and more exclusive features.

About Analog
Analog is a catalyst for change across various industries - from global enterprises to the public sector, from healthcare to ecology. Analog's approach to AI ensures that technological advancements are not just about efficiency and convenience, but about enriching human experiences and fostering a more connected and mixed world. Analog is not just building technology; we are crafting a world where technology is an invisible yet indispensable part of our lives. Join us on our journey as we work to build solutions that will empower people to stop living behind the digital world and start remembering how to live in our rainbow-filled analog world.

What Working At Analog Offers
Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.
Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.

As a Sr. Research Engineer, you will be responsible for building AI systems that can perform previously improbable tasks or achieve unprecedented levels of performance. We're looking for people with solid engineering skills (for example designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code, and building the science behind the algorithms employed. The most outstanding deep learning results are increasingly attained at a massive scale, and these results require engineers who are comfortable working in large distributed systems.

• Past experience in creating high-performance implementations of deep learning algorithms
• Have experience working in large distributed systems
• Provide technical perspective to develop ML best practices and influence engineering culture in the team
• Have in depth knowledge of how the machine learning system interacts with systems around it
• Evaluate the tradeoffs of different ML models/systems and deploy best ML practices
• Experience with Data/Feature Engineering, Training, Evaluation and Deployment of ML models

• Have run at least small-scale ML experiments
• Love figuring out how systems work and continuously come up with ideas for how to make them faster while minimizing complexity and maintenance burden
• Have strong software engineering skills and are proficient in Python
• Comfortable working with researchers to enable them to develop the next generation of models

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Mid-Senior level

Full-time

Engineering and Information Technology

Technology, Information and Internet

Join to apply for the Senior Research Engineer role at Analog AI

Join to apply for the Senior Research Engineer role at Analog AI

Get AI-powered advice on this job and more exclusive features.

About Analog
Analog is a catalyst for change across various industries - from global enterprises to the public sector, from healthcare to ecology. Analog's approach to AI ensures that technological advancements are not just about efficiency and convenience, but about enriching human experiences and fostering a more connected and mixed world. Analog is not just building technology; we are crafting a world where technology is an invisible yet indispensable part of our lives. Join us on our journey as we work to build solutions that will empower people to stop living behind the digital world and start remembering how to live in our rainbow-filled analog world.

Overview
About Analog
Analog is a catalyst for change across various industries - from global enterprises to the public sector, from healthcare to ecology. Analog's approach to AI ensures that technological advancements are not just about efficiency and convenience, but about enriching human experiences and fostering a more connected and mixed world. Analog is not just building technology; we are crafting a world where technology is an invisible yet indispensable part of our lives. Join us on our journey as we work to build solutions that will empower people to stop living behind the digital world and start remembering how to live in our rainbow-filled analog world.
As a Sr. Research Engineer, you will be responsible for building AI systems that can perform previously improbable tasks or achieve unprecedented levels of performance. We're looking for people with solid engineering skills (for example designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code, and building the science behind the algorithms employed. The most outstanding deep learning results are increasingly attained at a massive scale, and these results require engineers who are comfortable working in large distributed systems.
Responsibilities

• Past experience in creating high-performance implementations of deep learning algorithms
• Have experience working in large distributed systems
• Provide technical perspective to develop ML best practices and influence engineering culture in the team
• Have in depth knowledge of how the machine learning system interacts with systems around it
• Evaluate the tradeoffs of different ML models/systems and deploy best ML practices
• Experience with Data/Feature Engineering, Training, Evaluation and Deployment of ML models
  

• Have run at least small-scale ML experiments
• Love figuring out how systems work and continuously come up with ideas for how to make them faster while minimizing complexity and maintenance burden
• Have strong software engineering skills and are proficient in Python
• Comfortable working with researchers to enable them to develop the next generation of models
  

• Seniority levelMid-Senior level

• Employment typeFull-time

• Job functionEngineering and Information Technology
• IndustriesTechnology, Information and Internet

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Overview
As a Sr. Research Engineer, you will be responsible for building AI systems that can perform previously improbable tasks or achieve unprecedented levels of performance. We're looking for people with solid engineering skills (for example designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code, and building the science behind the algorithms employed. The most outstanding deep learning results are increasingly attained at a massive scale, and these results require engineers who are comfortable working in large distributed systems.
Responsibilities

• Past experience in creating high-performance implementations of deep learning algorithms
• Have experience working in large distributed systems
• Provide technical perspective to develop ML best practices and influence engineering culture in the team
• Have in depth knowledge of how the machine learning system interacts with systems around it
• Evaluate the tradeoffs of different ML models/systems and deploy best ML practices
• Experience with Data/Feature Engineering, Training, Evaluation and Deployment of ML models
  

Overview
As a Sr. Research Engineer, you will be responsible for building AI systems that can perform previously improbable tasks or achieve unprecedented levels of performance. We're looking for people with solid engineering skills (for example designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code, and building the science behind the algorithms employed. The most outstanding deep learning results are increasingly attained at a massive scale, and these results require engineers who are comfortable working in large distributed systems.
Responsibilities

• Past experience in creating high-performance implementations of deep learning algorithms
• Have experience working in large distributed systems
• Provide technical perspective to develop ML best practices and influence engineering culture in the team
• Have in depth knowledge of how the machine learning system interacts with systems around it
• Evaluate the tradeoffs of different ML models/systems and deploy best ML practices
• Experience with Data/Feature Engineering, Training, Evaluation and Deployment of ML models
  

• Have run at least small-scale ML experiments
• Love figuring out how systems work and continuously come up with ideas for how to make them faster while minimizing complexity and maintenance burden
• Have strong software engineering skills and are proficient in Python
• Comfortable working with researchers to enable them to develop the next generation of models
  

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Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.
We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.
Job Description:

• You will work with the team to conduct cutting-edge research in AI, foundation models, and computational biology. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
• You will collaborate with the team on designing and executing large-scale experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.
• Additionally, you will work closely with AI/machine learning researchers and computational biologists to develop Genbio AI’s state-of-the-art biology foundation models and drive the research agenda to generate impact.

• Currently enrolled in a full-time master's or PhD (preferred) program in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field (preferably in the United States).
• A strong coder with excellent skills in C/C++ and Python.
• Fluent in deep learning frameworks like PyTorch (and/or JAX), Hugging Face (Datasets, Accelerate, Transformers, etc.), Megatron-LM, DeepSpeed, etc.
• Have a solid understanding of GPU, CPU, or other AI accelerator architectures.
• Familiar with LLM (and/or other foundation model) architectures (such as attention mechanisms, state-space models, MoE, etc.) and training infrastructure (e.g., large-scale GPU clusters).
• Have experience improving ML accuracy using low-precision formats.
• Have 1+ years of relevant industry experience.
• Derive a great deal of satisfaction from every percentage point of performance improvement.
• Have experience writing and optimizing compute kernels using CUDA or similar languages.

• Current PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing, Compilers, or other systems.
• Co-optimizing computing infrastructure and deep learning frameworks for optimal performance on specific workloads. Identify and resolve performance bottlenecks through profiling and system analysis.
• Experience collaborating with data scientists and machine learning engineers to integrate distributed training capabilities into GenBio AI’s model development and deployment frameworks.
• Proficient in Python with experience in GPU-accelerated libraries (e.g., CUDA, cuDNN).
• Knowledge of performance profiling and optimization tools for HPC and deep learning.

Join us as we embark on this journey to redefine the future of biology and medicine.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.