Senior Staff Software Engineer

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

What you get to do in this role:

SmartOps is an emerging technology group focused on bridging the physical world with the world of digital actions. We achieve this goal by extracting information from video cameras using edge AI technology and algorithmically trigger actions and workflows based on activity in the physical world. These digital actions eventually manifest as an activity in the physical world. The team is looking for talented machine learning engineers who can take theory to practice and make this vision a success.

Machine learning engineers are expected to find innovative and cost-effective solutions to key problems, deliver high quality code, improve model accuracy and model efficiency.

You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world.

• Build the best cloud-based AI/ML solutions to power intelligent enterprise services.
• Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software.
• Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users.
• Develop and enhance computer vision features including model selection, model integration into the solution, algorithm development for on-prem GPU application and optimise models and code.
• Participate in design and code reviews ensuring best practices in performance, maintainability, testability, and observability.

To be successful in this role you have:

• 12+ years of experience in software engineering, with a track record of delivering high-quality products.
• 5+ years of domain experience in Computer Vision, Vision AI models in field of person detection, object detection, tracking and related 
• Strong in data structures and algorithms, software development skills in Python and C++.
• Practical experience with runtimes and execution providers like ONNX, TensorRT, faster-transformer for NVIDIA GPUs.
• Practical experience with developing object detection and tracking algorithms and scaling inference for higher frame rates in production settings.
• Practical experience in designing/modifying/training one or more of Vision Transformer, YOLO, SSD, GAN, ResNET like models.
• Practical experience in data augmentation methods for object recognition and tracking use-cases.
• Strong experience in developing and improving software for large scale deployments
• Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization
• Understanding software quality principles including reliability, observability, and production readiness.

Good to have:

Strong understanding of model compression via parameter quantization, distillation, and shrinking techniques Experience in reading papers and implementing algorithms described in papers Knowledge of generative AI architectures for Image-to-Text, diffusion models Knowledge of video compression and streaming

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

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