Total 12 job vacancies by Black Sesame Technologies (singapore) Pte. Ltd.

Job title: IT Engineer

Work Location: Singapore, On-Site

Position Overview:

The IT Engineer is responsible for the IT Operations and Maintenance of the company. You will work closely with our Global IT Department to ensure the optimal performance, security, and reliability of our IT infrastructure.

Responsibilities:

IT Environment and Policy:

• Ensure a seamless IT working environment by implementing and enforcing IT policies and procedures according to our company guidelines.
• Provide responsive IT Helpdesk services and conduct necessary training sessions internally to enhance team proficiency.

IT Procurement Management:

• Oversee IT procurement activities, including but not limited to laptops, desktops, monitors, accessories, network devices, and software.
• Collaborate with vendors to ensure cost-effective and timely acquisition of IT equipment and services.

Server Management:

• Install and provide support for server hardware and operating systems.
• Manage Microsoft Active Directory, ensuring user accounts, permissions, and security policies are properly configured.
• Configure and maintain essential server components such as Antivirus servers, File and Print infrastructure, and other critical services.

Networking:

• Monitor, manage and enhance WAN/LAN accessibility and security.
• Collaborate with the network team to optimize network performance and address issues promptly.
• Implement improvements to ensure the reliability and efficiency of the network infrastructure.

Security Services:

• Implement and enforce IT security policies to safeguard organizational assets.
• Conduct vulnerability management to identify and address potential security risks.

Qualification/ Requirements:

• Bachelor’s degree or higher in Computer Science or related technical field.
• Minimum of 3 years of practical experience in IT.
• Hands-on experience in networking configuration, IT device maintenance, troubleshooting, and security reinforcement.
• Familiarity with Linux operating systems and system optimization is a strong plus.
• Proactive approach to handling responsibilities with a strong sense of duty.
• Excellent communication skills to effectively interact with team members and end-users.

Job Title: ML Systems Engineer

Work location: Singapore

Department: CoreIP

Position Overview:

Black Sesame Technologies is seeking motivated and talented individuals to join our team as AI Systems Engineer (Embedded Platforms). This position offers an exciting opportunity to work on cutting-edge technologies for autonomous vehicles and robotics. We are looking for individuals who are eager to learn, innovate, and contribute to deploying AI solutions on embedded platforms such as NVIDIA Orin.

Responsibilities:

Model Deployment:Deploy machine learning models on embedded platforms (e.g., NVIDIA Orin) with a focus on applications in autonomous vehicles and robotics.

Optimization: Optimize and tune the performance of deep learning models to ensure maximum efficiency and minimal latency.

Collaboration: Work closely with data scientists and hardware engineers to translate AI algorithms into production-ready code.

Real-Time Monitoring:Implement real-time performance metrics monitoring and develop strategies for continuous improvement.

Innovation: Stay updated on the latest industry trends, technologies, and advancements in AI, machine learning, and embedded systems.

Technical Leadership: Provide guidance and technical expertise in the deployment of AI systems on embedded platforms.

Qualification/ Requirements:

• Education: Master’s or PhD degree in Computer Science, Electrical Engineering, Robotics, or a related field.
• Experience: Proven experience in deploying and optimizing deep learning models on embedded systems.
• Programming Skills: Strong proficiency in Python, C++, and CUDA.
• ML Frameworks:In-depth knowledge of machine learning frameworks such as PyTorch, TensorRT, and hardware accelerators.
• Problem-Solving: Strong problem-solving skills, critical thinking, and a proactive approach to tackling technical challenges.
• Teamwork: Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

Position Overview:

Black Sesame Technologies is seeking a talented and innovative Machine Learning Research Scientist with expertise in software/hardware co-design to drive advancements in autonomous driving technologies. This role offers a unique opportunity to bridge the gap between machine learning algorithms and hardware design, contributing to high-performance, efficient, and scalable solutions for AI-driven systems.

Responsibilities:

• Conduct in-depth research and analysis of cutting-edge machine learning algorithms, with a primary focus on applications in autonomous driving.
• Monitor and forecast industry trends in AI technologies to identify opportunities for innovation and improvement.
• Evaluate the computational and memory requirements of various AI models and operators, identifying optimization opportunities.
• Collaborate closely with chip architects and engineers to design and implement software/hardware co-designed solutions that enhance chip performance, efficiency, and scalability.
• Develop comprehensive technical documentation and presentations to effectively communicate complex concepts to both technical and non-technical audiences.
• Stay connected with academic and industry research communities to remain at the forefront of AI and machine learning advancements.

Qualification/ Requirements:

• Education: Master’s or PhD in Computer Science, Electrical Engineering, or a related technical field with a strong focus on machine learning.
• Experience: Proven experience in developing and analyzing machine learning algorithms.
• Programming Skills: Proficiency in programming languages such as Python and C++.
• ML Frameworks:Hands-on experience with machine learning frameworks like TensorFlow and PyTorch, and deploying them on hardware accelerators.
• Collaboration: Demonstrated ability to work effectively in a team-oriented, cross-disciplinary environment.
• Co-Design Expertise: Strong understanding of software/hardware co-design principles and their impact on system performance is highly preferred.

Job title: IT Engineer

Work Location: Singapore, On-Site

Position Overview:

The IT Engineer is responsible for the IT Operations and Maintenance of the company. You will work closely with our Global IT Department to ensure the optimal performance, security, and reliability of our IT infrastructure.

Responsibilities:

IT Environment and Policy:

• Ensure a seamless IT working environment by implementing and enforcing IT policies and procedures according to our company guidelines.
• Provide responsive IT Helpdesk services and conduct necessary training sessions internally to enhance team proficiency.

IT Procurement Management:

• Oversee IT procurement activities, including but not limited to laptops, desktops, monitors, accessories, network devices, and software.
• Collaborate with vendors to ensure cost-effective and timely acquisition of IT equipment and services.

Server Management:

• Install and provide support for server hardware and operating systems.
• Manage Microsoft Active Directory, ensuring user accounts, permissions, and security policies are properly configured.
• Configure and maintain essential server components such as Antivirus servers, File and Print infrastructure, and other critical services.

Networking:

• Monitor, manage and enhance WAN/LAN accessibility and security.
• Collaborate with the network team to optimize network performance and address issues promptly.
• Implement improvements to ensure the reliability and efficiency of the network infrastructure.

Security Services:

• Implement and enforce IT security policies to safeguard organizational assets.
• Conduct vulnerability management to identify and address potential security risks.

Qualification/ Requirements:

• Bachelor’s degree or higher in Computer Science or related technical field.
• Minimum of 3 years of practical experience in IT.
• Hands-on experience in networking configuration, IT device maintenance, troubleshooting, and security reinforcement.
• Familiarity with Linux operating systems and system optimization is a strong plus.
• Proactive approach to handling responsibilities with a strong sense of duty.
• Excellent communication skills to effectively interact with team members and end-users.

Position Overview:

We are seeking a skilled Physical Design Engineer to join our team. As a Physical Design Engineer, you will be responsible for the entire process from RTL to GDS, ensuring the successful implementation of complex semiconductor chips. You will focus on block-level timing closure, formal checks, low power checks, power analysis, and signoff for block-level physical implementation. Your expertise in advanced process nodes, low-power design, and automotive chip physical design will contribute to the development of cutting-edge semiconductor products.

Responsibilities:

• Assist in the physical design process, overseeing RTL to GDS implementation for semiconductor chips.
• Achieve block-level timing closure by optimizing design constraints, performing timing analysis, and applying optimization techniques.
• Conduct formal checks to ensure designs meet functional and timing requirements.
• Perform low-power checks and analyze power consumption to optimize power efficiency.
• Collaborate with the design team to develop and implement UPF (Unified Power Format) for power management and control.
• Execute block-level Place and Route (APR), Static Timing Analysis (STA), Power Integrity (PI), Physical Verification (PV), and Formal Verification (FM) signoff processes.
• Utilize Synopsys and Cadence APR (Automated Routing and Place) tools for high-quality physical design.
• Develop and employ scripts in Tcl, Perl, or Python to automate design tasks and improve the design flow.

Qualification/ Requirements:

• Bachelor's/master’s degree in electrical engineering, Computer Engineering, or a related field.
• 2-4 years of experience in physical design for semiconductor chips.
• Proficiency in RTL-to-GDS flow, timing closure, low-power design, and power analysis.
• Strong understanding of UPF for power management and control.
• Experience with block-level Place and Route (APR), Static Timing Analysis (STA), Power Integrity (PI), Physical Verification (PV), and Formal Verification (FM) signoff.
• Familiarity with Synopsys and Cadence APR/Sign-off tools.
• Proficiency in scripting languages such as Tcl, Perl, or Python for automation.
• Excellent problem-solving skills and ability to work effectively in a team environment.

Position Overview:

We are seeking a skilled Senior Physical Design Engineer to join our team. As a Senior Physical Design Engineer, you will be responsible for the entire process from RTL to GDS, ensuring the successful implementation of complex semiconductor chips. You will focus on block-level timing closure, formal checks, low power checks, power analysis, and signoff for block-level physical implementation. Your expertise in advanced process nodes, low-power design, and automotive chip physical design will contribute to the development of cutting-edge semiconductor products.

Responsibilities:

• Lead the physical design process, overseeing RTL to GDS implementation for semiconductor chips.
• Achieve block-level timing closure by optimizing design constraints, performing timing analysis, and applying optimization techniques.
• Conduct formal checks to ensure designs meet functional and timing requirements.
• Perform low-power checks and analyze power consumption to optimize power efficiency.
• Collaborate with the design team to develop and implement UPF (Unified Power Format) for power management and control.
• Execute block-level Place and Route (APR), Static Timing Analysis (STA), Power Integrity (PI), Physical Verification (PV), and Formal Verification (FM) signoff processes.
• Utilize Synopsys and Cadence APR (Automated Routing and Place) tools for high-quality physical design.
• Develop and employ scripts in Tcl, Perl, or Python to automate design tasks and improve the design flow.
• Mentor junior engineers and provide technical guidance and support as needed.

Qualification/ Requirements:

• Bachelor's/master’s degree in electrical engineering, Computer Engineering, or a related field.
• 3-5 years of experience in physical design for semiconductor chips.
• Proficiency in RTL-to-GDS flow, timing closure, low-power design, and power analysis.
• Strong understanding of UPF for power management and control.
• Experience with block-level Place and Route (APR), Static Timing Analysis (STA), Power Integrity (PI), Physical Verification (PV), and Formal Verification (FM) signoff.
• Familiarity with Synopsys and Cadence APR/Sign-off tools.
• Proficiency in scripting languages such as Tcl, Perl, or Python for automation.
• Able to guide junior colleague when needed.
• Excellent problem-solving skills and ability to work effectively in a team environment.

Position Overview:

In this role, you will be responsible for developing cutting-edge deep learning-based perception algorithms and advancing the state-of-the-art in computer vision. Your expertise in algorithm development and optimization will contribute to our mission of delivering innovative solutions in the field of AI perception.

Responsibilities:

• Design and implement advanced algorithms for various vision tasks, including object detection, lane detection, segmentation, and depth estimation. Enhance the accuracy and robustness of our perception systems.
• Continuously explore the latest advancements in computer vision literature. Bring innovative ideas to the team and contribute to the evolution of our perception algorithms.
• Contribute to our intellectual property portfolio by publishing patents and research papers. Share findings and insights with the scientific community to establish our leadership in AI perception.

Qualification/ Requirements:

• Bachelor's or Master's in Computer Science, Machine Learning, Electrical Engineering, or a related field.
• Research and development experience in one or more of the following areas:

- Strong programming skills with C/C++, with demonstrated delivery of robust, well-tested C++ software

- Experience in deploying AI models on a real-time system

- Strong written and verbal communication skills, to collaborate with stakeholders of various backgrounds

- Object detection and tracking.

- Strong analytical abilities to quickly grasp concepts and design solutions

- Multi-view geometry and 3D computer vision.

Position Overview:

Black Sesame Technologies is a rapidly expanding artificial intelligence company backed by substantial VC funding, dedicated to pioneering algorithms and chips for artificial intelligence and image processing. As a Research Scientist in this role, you will collaborate closely with leading researchers to forge cutting-edge perception algorithms aimed at tackling real-world challenges in autonomous driving and beyond. The primary focus of perception is to identify and comprehend the surrounding environment of autonomous vehicles, supporting L2 and L3 automated driving capabilities. This involves constructing a real-time virtual representation of the local environment by processing input data predominantly from cameras, alongside data from complementary sensors such as radars, IMU, and ultrasonic sensors.

Job Description:

• Develop deep learning-based perception algorithms encompassing object detection, lane detection, segmentation, depth estimation, and other related tasks.
• Innovate state-of-the-art network architectures and training methodologies, assessing their efficacy in addressing vision-related challenges.
• Execute deep network compression tailored for ASIC platforms.
• Stay abreast of the latest advancements in deep learning and computer vision literature, proactively proposing novel concepts.
• Contribute to patent and research paper publications.

Job Requirements:

- Master Degree/ PhD in Computer Science, electrical engineering, or a related field.

- Possess 3+ years of experience in computer vision / machine learning development.

- Demonstrated expertise in research and development within one or more of the following domains:

• Deep network development, particularly with visual data.
• Object detection and tracking.
• Stereo / optical flow / depth estimation.
• Multi-view geometry and 3D computer vision.
• Structure from motion.
• Network compression and optimization.
• Network-based sensor fusion.
• Mathematical optimization.
• Proficient programming skills in Python (knowledge of C++ is advantageous).

Position Overview:

We are looking for a passionate and motivated AI Engineer to join our team, focusing on innovative projects in image and video applications. In this role, you’ll contribute to the development and improvement of AI algorithms, working alongside experienced team members to create advanced solutions in image processing and computer vision.

Responsibilities:

• Assist in the development of algorithms for image and video processing, including tasks like image restoration, enhancement, and segmentation.
• Contribute to the design and implementation of computer vision and deep learning solutions, proposing ideas to improve algorithm performance and address practical challenges.
• Collaborate with software and hardware teams to support the optimization of algorithms for efficient, real-time performance on various devices.
• Participate in testing and refining algorithms to ensure they perform well across different conditions and environments.
• Work with software engineers to integrate algorithms into broader software systems, learning how to achieve smooth functionality and user experience.
• Stay updated on the latest advancements in AI and computer vision, sharing ideas that could be applied to future projects.

Qualification/ Requirements:

• Education: Master’s or Ph.D. degree in Computer Science, Electrical Engineering, or a related field.
• Relevant academic or project experience in image processing and computer vision, with hands-on work in areas such as image restoration, generation, enhancement, or segmentation.
• Proficiency in programming languages such as Python, with familiarity in deep learning frameworks like PyTorch or TensorFlow.
• Strong foundation in mathematical concepts, such as probability and optimization, with an eagerness to apply these skills in AI algorithm development.
• Enthusiasm for learning advanced AI techniques, including generative models (e.g., GANs, VAEs) and language-guided generation, with a proactive attitude towards skill-building.
• Effective communication skills and a collaborative mindset, with a passion for teamwork and innovation.
• Interest in image processing, computer vision, or multimedia technologies; personal projects or hobbies related to photography or similar fields are a plus.

Position Overview:

In this role, you will be responsible for developing cutting-edge deep learning-based perception algorithms and advancing the state-of-the-art in computer vision. Your expertise in algorithm development and optimization will contribute to our mission of delivering innovative solutions in the field of AI perception.

Responsibilities:

• Design and implement advanced algorithms for various vision tasks, including object detection, lane detection, segmentation, and depth estimation. Enhance the accuracy and robustness of our perception systems.
• Research and propose novel network architectures and training methodologies to improve the performance of our vision models. Design efficient and effective networks for vision problems.
• Optimize deep neural networks to meet the computational and memory constraints of ASIC platforms. Apply network compression techniques for efficient deployment in resource-limited environments.
• Continuously explore the latest advancements in deep learning and computer vision literature. Bring innovative ideas to the team and contribute to the evolution of our perception algorithms.
• Contribute to our intellectual property portfolio by publishing patents and research papers. Share findings and insights with the scientific community to establish our leadership in AI perception.

Qualification/ Requirements:

• MS/Ph.D. in computer science, electrical engineering, or equivalent.
• Research and development experience in one or more of the following areas:

- Deep network development, particularly with visual data.

- Object detection and tracking.

- Stereo/optical flow/depth estimation.

- Multi-view geometry and 3D computer vision.

- Structure from motion.

- Network compression and optimization.

- Network-based sensor fusion.

- Mathematical optimization.

Position Overview:

The Senior/Staff Design Engineer will be responsible for developing micro-architecture for ISP and CV related algorithms, utilizing RTL design using Verilog/System Verilog coding and HLS tools like Catapult. They will analyze metrics such as power, performance, and area to meet key objectives, collaborate with architects and DV Engineersfor efficient verification signoff, and support FPGA tasks such as emulation,validation, and debugging.

Responsibilities:

• Develop micro-architecture for ISP and CV algorithms.
• Perform RTL design using Verilog/System Verilog and HLS tools (Catapult).
• Analyze and optimize metrics like power, performance, and area.
• Cooperate with verification architects and DV engineers to ensure high quality IP delivery.
• Support backend team for SoC signoff.
• Oversee FPGA tasks including emulation, validation, and debugging.

Qualification/Requirements:

• Education: Bachelor/Master’s degree or above in Electrical/Electronics/Computer Engineering is required.
• Experience: Minimum 5yearsand aboveof experience in ASIC design. Expertise in image signal processing projects is beneficial.
• Technical Skills:
• - Advanced proficiency in HDL languages (Verilog, System Verilog).
• - In-depth knowledge of all phases of ASIC frontend design and sign-off.
• - Extensive experience in image/vision/video data processing or algorithm acceleration.
• - Proficiency in scripting languages like Python, Perl, or C/C++.
• Soft Skills: Excellent leadership, teamwork, and communication skills.
• Additional Notes:Stronganalytical skills and the ability to lead complex projects independently and within teams.

Position Overview:

In this role, you will be responsible for developing cutting-edge deep learning-based perception algorithms and advancing the state-of-the-art in computer vision. Your expertise in algorithm development and optimization will contribute to our mission of delivering innovative solutions in the field of AI perception.

Responsibilities:

• Design and implement advanced algorithms for various vision tasks, including object detection, lane detection, segmentation, and depth estimation. Enhance the accuracy and robustness of our perception systems.
• Research and propose novel network architectures and training methodologies to improve the performance of our vision models. Design efficient and effective networks for vision problems.
• Optimize deep neural networks to meet the computational and memory constraints of ASIC platforms. Apply network compression techniques for efficient deployment in resource-limited environments.
• Continuously explore the latest advancements in deep learning and computer vision literature. Bring innovative ideas to the team and contribute to the evolution of our perception algorithms.
• Contribute to our intellectual property portfolio by publishing patents and research papers. Share findings and insights with the scientific community to establish our leadership in AI perception.

Qualification/ Requirements:

• MS/Ph.D. in computer science, electrical engineering, or equivalent.
• Research and development experience in one or more of the following areas:

- Deep network development, particularly with visual data.

- Object detection and tracking.

- Stereo/optical flow/depth estimation.

- Multi-view geometry and 3D computer vision.

- Structure from motion.

- Network compression and optimization.

- Network-based sensor fusion.

- Mathematical optimization.