Canfield Scientific, Inc
Parsippany, New Jersey
The ideal 3D Graphics Software Engineer candidate is a skilled C++ with experience in real-time 3D rendering using the OpenGL with a good understanding of the software lifecycle, the ability to work in a fast-paced environment with shifting priorities and enjoys problem solving. Job Description: Design, develop, and maintain real-time 3D applications using modern C++ and OpenGL Implement and optimize rendering pipelines, 3D geometry handling, and custom shader effects Develop features for 3D interaction, visualization, and simulation based on large image datasets Integrate graphics modules with backend data-processing and UI frameworks Debug, profile, and optimize CPU/GPU performance across multiple platforms Write clean, maintainable, well-documented, and portable code Core Requirements: Bachelor's degree, computer science or related field preferred or an equivalent combination of experience and education At least 1 year of established experience in C++ with focus on high-performance application development Demonstrated experience with OpenGL or OpenGL ES, including GLSL shader programming Solid understanding of 3D computer graphics, linear algebra, and camera geometry Knowledgeable of cross-platform development (Windows, Linux, or macOS) Familiarity with C++ build tools such as git and make or CMake Desired: Exposure to Vulkan, Metal, or DirectX graphics APIs is a plus Experience integrating 3D visualization with image processing pipelines or machine learning models, medical imaging or regulated software environments, or CI/CD pipelines for mobile (e.g. Jenkins, GitHub Actions) Understanding of scientific visualization, simulation software, or game engine architecture Experience with modern GPU profiling and debugging tools (e.g., RenderDoc, Nsight, glDebugMessageCallback) Canfield Imaging Systems is the world-leading developer of specialized photographic systems for medical practices, institutions, research organizations, and pharmaceutical suppliers. Canfield offers comprehensive benefits to its employees. These include paid days off, medical, dental, and vision insurance, may be eligible for a discretionary bonus, and a 401(k) plan with employer match (currently set at 50%). The anticipated salary range for the position is $120,000.00-$192,000.00 annually. This is dependent upon consideration of multiple factors when determining a base salary such as a candidate's experience, education, and current market conditions. If the role is eligible for full benefits, it will be discussed with you during the interview process. Canfield Imaging Systems is a division of Canfield Scientific, Inc., the largest provider of photographic documentation systems and services for pharmaceutical research.
The ideal 3D Graphics Software Engineer candidate is a skilled C++ with experience in real-time 3D rendering using the OpenGL with a good understanding of the software lifecycle, the ability to work in a fast-paced environment with shifting priorities and enjoys problem solving. Job Description: Design, develop, and maintain real-time 3D applications using modern C++ and OpenGL Implement and optimize rendering pipelines, 3D geometry handling, and custom shader effects Develop features for 3D interaction, visualization, and simulation based on large image datasets Integrate graphics modules with backend data-processing and UI frameworks Debug, profile, and optimize CPU/GPU performance across multiple platforms Write clean, maintainable, well-documented, and portable code Core Requirements: Bachelor's degree, computer science or related field preferred or an equivalent combination of experience and education At least 1 year of established experience in C++ with focus on high-performance application development Demonstrated experience with OpenGL or OpenGL ES, including GLSL shader programming Solid understanding of 3D computer graphics, linear algebra, and camera geometry Knowledgeable of cross-platform development (Windows, Linux, or macOS) Familiarity with C++ build tools such as git and make or CMake Desired: Exposure to Vulkan, Metal, or DirectX graphics APIs is a plus Experience integrating 3D visualization with image processing pipelines or machine learning models, medical imaging or regulated software environments, or CI/CD pipelines for mobile (e.g. Jenkins, GitHub Actions) Understanding of scientific visualization, simulation software, or game engine architecture Experience with modern GPU profiling and debugging tools (e.g., RenderDoc, Nsight, glDebugMessageCallback) Canfield Imaging Systems is the world-leading developer of specialized photographic systems for medical practices, institutions, research organizations, and pharmaceutical suppliers. Canfield offers comprehensive benefits to its employees. These include paid days off, medical, dental, and vision insurance, may be eligible for a discretionary bonus, and a 401(k) plan with employer match (currently set at 50%). The anticipated salary range for the position is $120,000.00-$192,000.00 annually. This is dependent upon consideration of multiple factors when determining a base salary such as a candidate's experience, education, and current market conditions. If the role is eligible for full benefits, it will be discussed with you during the interview process. Canfield Imaging Systems is a division of Canfield Scientific, Inc., the largest provider of photographic documentation systems and services for pharmaceutical research.
InsideHigherEd
Stanford, California
Software Developer School of Engineering, Stanford, California, United States Information Technology Services Nov 25, 2025 Post Date 107811 Requisition # Note: This is a 1 year fixed term position. Visa sponsorship is not available for this position. All candidates must be eligible to work and live in the U.S. This position has been deemed critical by the School of Engineering Dean's Office and is exempt from the hiring freeze. The School of Engineering Stanford Engineering has been at the forefront of innovation for nearly a century, creating pivotal technologies that have transformed the worlds of information technology, communications, health care, energy, business and beyond. Our faculty and students are creative risk-takers who pursue excellence across a breadth of disciplines. Our alumni include some of the world's most successful leaders in technology and business. Our staff are critical to enabling Stanford Engineering to accomplish its mission: seeking solutions to some of the world's most urgent challenges and educating leaders who will make the world a better place through the power of engineering principles, techniques and systems. The Stanford Vision and Learning Lab (SVL) at SAIL within the Computer Science Department addresses the theoretical foundations and practical applications of computational vision. We are focused on discovering and proposing the fundamental principles, algorithms, and implementations for solving high-level visual perception and cognition problems involving computational geometry, automated image and video analysis, and visual reasoning. At the same time, our curiosity leads us to study the underlying neural mechanisms that enable the human visual system to perform high level visual tasks with amazing speed and efficiency. The Stanford Vision and Learning Lab (SVL) is looking for a full-time Software Developer to develop software for exciting research projects related to robotics. The main focus of this position will be related to a core project of SVL, the BEHAVIOR benchmark, a platform on which robots can learn to solve household activities like washing dishes or cleaning floors. Built on our OmniGibson simulation platform, BEHAVIOR is a combination of simulation software and data assets intended to support robot learning use cases, such as training learning-based agents (e.g. in paradigms such as Reinforcement Learning or Imitation Learning), with the long-term goal of enabling the development of advanced robots to help humans with everyday activities. To effectively enable robot learning workflows, BEHAVIOR needs to be high-performance and high-realism. The goal of this position is to contribute to the development of BEHAVIOR in these directions and help us lead it to widespread adoption as a performant and easy-to-use robot learning platform. You can find out more about BEHAVIOR on . In this position, you will co-lead the project under the guidance of the SVL faculty to gain first-hand experience in developing software for advanced, impactful research. You will have the chance to join us as an author on papers we publish at top AI conferences such as CVPR/NeurIPS/ICRA/CoRL. In this role, you will: Conceptualize design, implement, and develop solutions for complex system/programs independently. Take ownership of the above open-source projects as their lead maintainer. Interact with an internal and external client base to gain information and triage and address bugs. Document system builds and application configurations; maintain and update documentation as needed. Work as a project leader, as needed, for projects of moderate complexity. Responsible for CI pipeline, conducting code reviews, etc. Develop and maintain robotics simulation software (including features of physics simulation, AR/VR, rendering, task and motion planning, reinforcement learning, etc.), using platforms such as pyBullet and NVIDIA Omniverse. Mentor lower level software developer. Education & Experience (Required): Bachelor's degree and five years of relevant experience, or a combination of education and relevant experience. Knowledge, Skills, & Abilities (Required): Expertise in designing, developing, testing, and deploying applications. Proficiency with application design and data modeling. Ability to define and solve logical problems for highly technical applications. Strong communication skills with both technical and non-technical clients. Ability to lead activities on structured team development projects. Ability to select, adapt, and effectively use a variety of programming methods. Knowledge of the application domain. Education & Experience (Desired): Experience with software design and development, particularly in Python and C++. Experience with active practice of Git-based CI/CD workflows. Experience with Docker/container frameworks. Experience developing and maintaining open source software. Familiarity with the fundamentals of linear algebra, robotics, and computer graphics. Experience with machine learning algorithms and tools (e.g. PyTorch, Tensorflow). Working Conditions: May work extended hours, evening and weekends. Physical Requirements: Constantly perform desk-based computer tasks. Frequently sit, grasp lightly/fine manipulation. Occasionally stand/walk, writing by hand. Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. Work Standards: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, Pay Range: The expected pay range for this position is $138,402 to $163,985 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for you: Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more! How to Apply: We invite you to apply for this position by clicking on the "Apply for Job" button. To be considered, please submit a cover letter and résumé along with your online application. The cover letter should briefly describe why you believe you are a good fit for this position. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status . click apply for full job details
Software Developer School of Engineering, Stanford, California, United States Information Technology Services Nov 25, 2025 Post Date 107811 Requisition # Note: This is a 1 year fixed term position. Visa sponsorship is not available for this position. All candidates must be eligible to work and live in the U.S. This position has been deemed critical by the School of Engineering Dean's Office and is exempt from the hiring freeze. The School of Engineering Stanford Engineering has been at the forefront of innovation for nearly a century, creating pivotal technologies that have transformed the worlds of information technology, communications, health care, energy, business and beyond. Our faculty and students are creative risk-takers who pursue excellence across a breadth of disciplines. Our alumni include some of the world's most successful leaders in technology and business. Our staff are critical to enabling Stanford Engineering to accomplish its mission: seeking solutions to some of the world's most urgent challenges and educating leaders who will make the world a better place through the power of engineering principles, techniques and systems. The Stanford Vision and Learning Lab (SVL) at SAIL within the Computer Science Department addresses the theoretical foundations and practical applications of computational vision. We are focused on discovering and proposing the fundamental principles, algorithms, and implementations for solving high-level visual perception and cognition problems involving computational geometry, automated image and video analysis, and visual reasoning. At the same time, our curiosity leads us to study the underlying neural mechanisms that enable the human visual system to perform high level visual tasks with amazing speed and efficiency. The Stanford Vision and Learning Lab (SVL) is looking for a full-time Software Developer to develop software for exciting research projects related to robotics. The main focus of this position will be related to a core project of SVL, the BEHAVIOR benchmark, a platform on which robots can learn to solve household activities like washing dishes or cleaning floors. Built on our OmniGibson simulation platform, BEHAVIOR is a combination of simulation software and data assets intended to support robot learning use cases, such as training learning-based agents (e.g. in paradigms such as Reinforcement Learning or Imitation Learning), with the long-term goal of enabling the development of advanced robots to help humans with everyday activities. To effectively enable robot learning workflows, BEHAVIOR needs to be high-performance and high-realism. The goal of this position is to contribute to the development of BEHAVIOR in these directions and help us lead it to widespread adoption as a performant and easy-to-use robot learning platform. You can find out more about BEHAVIOR on . In this position, you will co-lead the project under the guidance of the SVL faculty to gain first-hand experience in developing software for advanced, impactful research. You will have the chance to join us as an author on papers we publish at top AI conferences such as CVPR/NeurIPS/ICRA/CoRL. In this role, you will: Conceptualize design, implement, and develop solutions for complex system/programs independently. Take ownership of the above open-source projects as their lead maintainer. Interact with an internal and external client base to gain information and triage and address bugs. Document system builds and application configurations; maintain and update documentation as needed. Work as a project leader, as needed, for projects of moderate complexity. Responsible for CI pipeline, conducting code reviews, etc. Develop and maintain robotics simulation software (including features of physics simulation, AR/VR, rendering, task and motion planning, reinforcement learning, etc.), using platforms such as pyBullet and NVIDIA Omniverse. Mentor lower level software developer. Education & Experience (Required): Bachelor's degree and five years of relevant experience, or a combination of education and relevant experience. Knowledge, Skills, & Abilities (Required): Expertise in designing, developing, testing, and deploying applications. Proficiency with application design and data modeling. Ability to define and solve logical problems for highly technical applications. Strong communication skills with both technical and non-technical clients. Ability to lead activities on structured team development projects. Ability to select, adapt, and effectively use a variety of programming methods. Knowledge of the application domain. Education & Experience (Desired): Experience with software design and development, particularly in Python and C++. Experience with active practice of Git-based CI/CD workflows. Experience with Docker/container frameworks. Experience developing and maintaining open source software. Familiarity with the fundamentals of linear algebra, robotics, and computer graphics. Experience with machine learning algorithms and tools (e.g. PyTorch, Tensorflow). Working Conditions: May work extended hours, evening and weekends. Physical Requirements: Constantly perform desk-based computer tasks. Frequently sit, grasp lightly/fine manipulation. Occasionally stand/walk, writing by hand. Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. Work Standards: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, Pay Range: The expected pay range for this position is $138,402 to $163,985 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for you: Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more! How to Apply: We invite you to apply for this position by clicking on the "Apply for Job" button. To be considered, please submit a cover letter and résumé along with your online application. The cover letter should briefly describe why you believe you are a good fit for this position. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status . click apply for full job details