Derek Chibuzor, who is pursuing a masters in electrical engineering with an emphasis in machine learning and data science at USC, is seen pointing to a poster while another person listens to his explanation.
Derek Chibuzor, who is pursuing a masters in electrical engineering with an emphasis in machine learning and data science, says he would eventually like to found a new business or startup.

USC SURE student develops prototype algorithm to help automate spacecraft docking

Derek Chibuzor utilized his SURE experience to gain "exposure to an aerospace research project in a professional research environment."

As a New Jersey native attending boarding school in Canada, Derek Chibuzor spent a lot of time on planes as a young student. The travel sparked an enduring interest in flight, and when he enrolled at the University of Southern California (USC), Chibuzor chose to major in aerospace engineering.

Chibuzor attended the prestigious Ridley College boarding school in Ontario, Canada, enrolling in an International Baccalaureate diploma program with a focus on STEM. After graduating from Ridley, he considered becoming a fighter pilot but ultimately chose to enroll in USC’s aerospace engineering program — in part because it would give him access to future internships at large aerospace companies.

His experience already has gone beyond the classroom. Through a unique summer fellowship in 2022, Chibuzor (who was then an undergrad) gained real-world experience conducting research that could help change how spacecraft dock with one another.

What impressed me most was his thirst for knowledge. He’s a student in aerospace but he wants to know about large language models, he wants to know about computer science — he really wants to know everything about everything.
Gérard Medioni

Chibuzor is one of dozens of students who have enrolled in the Amazon-sponsored Summer Undergraduate Research Experience (SURE). The fellowship provides students from historically underrepresented backgrounds with a unique research experience at top-tier universities including USC.

As a SURE fellow in 2022, Chibuzor spent the summer after his first year at USC’s Space Engineering Research Center working on a research project, with visits to Amazon. As part of the program, he was also mentored by Gérard Medioni, Amazon vice president and distinguished scientist, and emeritus professor at USC.

“What impressed me most was his thirst for knowledge,” Medioni said. “He’s a student in aerospace but he wants to know about large language models, he wants to know about computer science — he really wants to know everything about everything.”

Medioni, who previously served as the chair of the computer science department at USC, was able to offer Chibuzor advice on “a set of different options that he could follow while trying to get a dual curriculum of aerospace engineering and computer science.”

“I’ve always been passionate about aerospace and engineering. But I think what the SURE program helped me realize is that I’m also interested in computer science and computer engineering,” Chibuzor said.

Valuable research experience

During USC’s 2022 SURE program at the Space Engineering Research Center, which is part of the school’s Information Sciences Institute and affiliated with the university’s Viterbi School of Engineering, Chibuzor participated in a project called “CLING-ERS”. The CLING-ERS project goal was to develop an autonomous spacecraft docking solution for the International Space Station.

Chibuzor, who was later joined by two other interns to take on the ambitious challenge, was tasked with developing a computer vision algorithm.

“To achieve autonomous rendezvous and docking, each CLING-ERS device is equipped with an infrared camera and a set of four infrared LEDs,” Chibuzor explained. “By detecting the location and orientation of the IR LEDs attached to the opposing device, each CLING-ERS device is able to determine its position, attitude, and range with respect to the other — enabling the pair of to navigate toward one another and dock. To facilitate this IR LED detection, my team developed a computer vision algorithm using OpenCV.”

Derek Chibuzor. left, is seen standing in front of some posters that were part of a presentation for a project called “CLING-ERS” which had the goal of developing an autonomous spacecraft docking solution for the International Space Station.
During USC’s 2022 SURE program at the Space Engineering Research Center, Derek Chibuzor participated in a project called “CLING-ERS” with the goal was of developing an autonomous spacecraft docking solution.

The team utilized SimpleBlobDetector, a tool which can extract blobs — a region in an image that is distinct from the rest in terms of brightness or color. “When docking, the IR camera of each CLING-ERS device captures live video of the IR LEDs attached to the opposing device,” he noted. “Our algorithm could then continually analyze this live video to determine the position, attitude, and range of the four IR LEDs.

“This proved challenging for a few reasons, but one of the more interesting problems involved lens flare,” he continued. “As CLING-ERS approached to dock, lens flare caused the shape of the light emitted by the IR LEDs to distort from circular to rectangular — limiting the efficacy of the algorithm at close range. To remedy this, we developed a feature that dynamically tuned the detection constraints of the algorithm as docking progressed.”

Chibuzor and his team presented their research and prototype solution to the SURE faculty team and their peer interns in August of 2022.

Expanding STEM representation

Chibuzor’s experience as a USC SURE intern demonstrates the potential of exposing undergraduates from underrepresented groups to real-world scientific research and Amazon’s culture of innovation.

“Amazon’s SURE program at USC aims to fulfill the mission of diversifying the pipeline of students in STEM, focusing on an array of projects including machine learning, AI and other areas that Amazon is focused on,” said Andy Jones-Liang, associate director of Viterbi Academic Services at USC’s Viterbi School of Engineering and the school’s SURE program lead. “We had a smaller SURE program at USC before Amazon’s partnership, but thanks to Amazon’s gift and sponsorship, we’ve been able to triple the number of students enrolling in the program.”

While I've always been interested in computers and computer programming, SURE was really amazing because I got exposure to an aerospace research project in a professional research environment.
Derek Chibuzor

“SURE is about purposefully looking at the talent in a very broad section of our community and understanding both how can we can become more aware of that talent and also help those students realize that their talents are useful to companies like Amazon,” Medioni added.

Each year, USC faculty volunteer to host SURE students for the summer. Students apply for projects based on their personal and academic interests. USC faculty and Jones-Liang then work together to select students who match up well with faculty projects based on their backgrounds and research potential.

Accepted students work on their research projects for eight weeks and prepare a poster presentation for SURE faculty and peer interns. They also participate in weekly professional development events, join weekly lunch-and-learns to hear about graduate fellowship opportunities, and participate in weekend socials to build relationships, expand their networks, and explore the local area. The fellowship includes the opportunity to visit Amazon’s local offices and receive direct mentorship from an Amazonian.

“SURE, and Amazon’s involvement in it, helps address the broader societal goals of increasing representation when it comes to solving the STEM problems we're encountering in the world,” Jones-Liang said. “Students can see what a future in STEM might be like — whether in academia or industry.

“For many of these SURE students like Derek, this is typically their first or second research experience,” he continued. “So a lot of the program is designed to familiarize them with the research environment and give them exposure to a real-world research project.”

“While I've always been interested in computers and computer programming, SURE was really amazing because I got exposure to an aerospace research project in a professional research environment,” Chibuzor agreed.

SURE projects also help students understand the iterative, trial-and-error nature of research.

“Much of the program is about fostering that intrinsic motivation to want to learn and get over the hurdles that always present themselves when you’re innovating and doing something new,” said Jones-Liang.

As part of his SURE fellowship, Chibuzor also visited Amazon’s Culver City office — meeting employees, listening to guest speakers from both Amazon and academia, and immersing himself in the Amazon environment.

“I was a student myself and as a student, you have a very limited visibility on the workforce and the environment where you may find yourself,” Medioni observed. “SURE opens the windows on the experience at Amazon in a way that is useful to those students.”

In the summer of 2023, Chibuzor furthered his experience in aerospace engineering through a second internship with Northrop Grumman. Chibuzor was recently admitted to USC’s graduate engineering school to pursue a masters in electrical engineering with an emphasis in machine learning and data science. Longer term, he would like to exercise his entrepreneurial muscles and found a new business or startup.

“The SURE internship exposed me to a lot of computer science and computer engineering, sparking an interest for me to further that and create something of my own,” he said.

Research areas

Related content

US, WA, Seattle
Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty. Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
US, WA, Seattle
Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty. Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
US, WA, Bellevue
The R2L team is responsible for building the next generation supply chain for Amazon’s world-class ultra-fast customer experiences including Amazon Fresh groceries, Sub-Same Day, Amazon Now, and other soon-to-launch exciting new businesses. Join us and you'll be taking part in serving our customers in as fast as 30 minutes! R2L Science & AI team sits under R2L and is a central team for all Data Science/AI related asks. We are looking for an experienced and curious data scientist with effective superior analytical skills to inform the data science charter of the team. Key job responsibilities We are looking for an experienced and curious data scientist with effective superior analytical skills to inform the data science charter of the team. This position is critical in helping us learn more about our data and finding opportunities to delight customers with data driven insights and machine learning models. The Data Science and Analytics team owns data science, data engineering, and business intelligence. You will be supporting multiple business and technical stakeholders with high velocity analytics. This role is uniquely positioned in the team as we have a growing need for looking around corners, prioritizing opportunities using data driven insights, and finding solutions to these opportunities using different machine learning techniques and causal inference models. You will be diving deep in our data and have a strong bias for action to quickly produce high quality data analyses with clear findings and recommendations. As part of our journey to learn about our data, some opportunities may be a dead end and you will be balancing unknowns with delivering results for our customers. A day in the life If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan Learn more about our benefits here: https://amazon.jobs/en/internal/benefits/us-benefits-and-stock
US, WA, Seattle
Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos). If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you. Come work on the Amazon Prime Air Team! We're looking for a Research Scientist with a background in developing simulations for traffic management algorithms, including expert knowledge in strategic deconfliction, tactical deconfliction, or detect-and-avoid systems. Managing a large number of concurrent autonomous drone flights that share airspace with other autonomous or manned aircraft is a challenging problem. Be part of the team building simulation tools and algorithms to solve this at scale. This role will contribute to a portfolio of simulation tools managing concurrent airspace traffic for aviation systems. This will include developing new methodologies in the areas of conflict detection and resolution, as well as developing related software systems that will be used in operation to enable package delivery at scale. The ideal candidate is comfortable with risk-taking and ambiguity and able to build consensus on critical, controversial technical decisions. If you enjoy the process of solving real-world problems that haven’t been solved at scale anywhere before, Prime Air is right for you. Along the way, we guarantee you’ll get opportunities to be a disruptor, prolific innovator, and a reputed problem solver and directly impact Amazon’s customers worldwide. Key job responsibilities The primary focus of this role will be on modeling traffic management frameworks that use a layered conflict detection and resolution strategy to ensure safe and efficient flight operations. This will include developing fundamental simulation infrastructure code, including discrete event simulation tooling. In addition, it will involve developing expert knowledge of the layers of mitigation and conducting in-depth scientific research on alternative solutions for conflict resolution. The candidate will contribute to significant and impactful systems that will provide value for Amazon customers and will drive these projects from the concept stage through development. This role will include substantial software development in prototyping and production environments.
US, CA, Sunnyvale
We are seeking an Applied Scientist to focus on Robotics Spatial Intelligence and Semantic Understanding. In this role, you'll research and build advanced semantic and world understanding algorithms that enable robots to observe, understand, and reason about complex and dynamic home environments. You'll work across a broad spectrum of 3D perception, contextual understanding, and world modeling approaches to build robust solutions that support autonomous decision making, task planning, navigation, and manipulation. Key job responsibilities - Develop and implement robust World Understanding and Modeling algorithms for a domestic robot. - Build simulation-based and on-robot evaluation frameworks with comprehensive benchmarks and metrics for systematic evaluation of Our Spatial Intelligence stack. - Conduct sim-to-real transfer experiments, analyzing performance gaps and developing techniques to ensure reliable real-world performance. - Collaborate with navigation, manipulation, and other teams to ensure seamless integration of World Understanding capabilities. - Stay current with the latest advances in World Modeling, Spatial Reasoning, and related fields and apply relevant findings to improve system performance About the team Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces. We believe that future won’t arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We’re changing that by developing tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real-world robotic products. Our work spans the full stack: mechanical design, control systems, dynamic modeling, and intelligent software. The focus is not just functionality, but experience. We’re building robots that feel responsive, expressive, and genuinely useful. At Fauna, you’ll work at the frontier of this space, helping define how robots move, manipulate, and interact with people in natural environments. It’s an opportunity to solve hard problems across hardware and software with a team focused on making robotics accessible and joyful to build. If you care about making robotics real for everyone and building systems that are as delightful as they are capable, we’re interested in hearing from you.
IN, KA, Bengaluru
Alexa+ is the world’s best Generative AI powered personal assistant / agent for consumers, and is becoming the conversational AI interface for Amazon services with the launch of Alexa for Shopping on Amazon.com and Amazon mobile app. At Alexa Ads, we are creating industry's first and most advanced Agentic Advertising products to drive Agentic Commerce. We are seeking an Applied Scientist to join our newly expanding team in India focused on Alexa Agentic/Conversational Ads and Personalization. In this role, you will build machine learning models that seamlessly and naturally integrate relevant advertising into the Alexa experience while deeply personalizing user interactions. You will work closely with other scientists, engineers, and product managers to take models from conception to production. Key job responsibilities - Design, develop, and evaluate innovative machine learning and deep learning models for natural language processing (NLP), recommendation systems, and personalization. - Conduct hands-on data analysis and build scalable ML pipelines. - Design and run A/B experiments to measure the impact of new models on customer experience and ad performance. - Collaborate with software development engineers to deploy models into high-scale, real-time production environments. About the team We are building a new science team in Bangalore to solve some of the most impactful problems in computational advertising. This isn't about tweaking existing models as we are rethinking how ads are ranked, priced, and personalized across voice-first and screen-first surfaces. These are problems that don't have textbook solutions. Key points to note about the team: 🧪 Greenfield team - you are not joining a mature org with rigid processes. You will shape the science roadmap, pick the problems, and define the culture from day one. 📈 Direct business impact — your models directly drive revenue. No yearly cycles to see if your work matters. 🌏 Global scope, local autonomy — collaborate with scientists and engineers across Seattle, Sunnyvale, and Bangalore, but own your problem space end-to-end. 🎓 Ship AND Publish: We encourage top-tier publications (NeurIPS, ACL, EMNLP, KDD, ICML, WWW) while ensuring your research hits production.
IL, Tel Aviv
Come join the AWS Agentic AI science team in building the next generation models for intelligent automation. AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops. We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.
US, WA, Seattle
MULTIPLE POSITIONS AVAILABLE Employer: AMAZON DEVELOPMENT CENTER U.S., INC. Offered Position: Research Scientist III Job Location: Seattle, Washington Job Number: AMZ10061595 Position Responsibilities: Develop and apply state of the art machine learning methods to large, multi source datasets to build and implement risk prevention, detection and mitigation solutions. Contribute to the development of ML Ops infrastructure, as well as the creation and delivery of Amazon’s science roadmap, including Gen AI efforts. Work closely with software engineering teams to deploy innovations. Mentor and coach junior scientists, including through lunch-and-learn sessions, tech talks, and regular office hours. Publish insights in and champion industry best practices at internal and external journals and conferences. Position Requirements: Master’s degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, or a related field and three years of experience in the job offered or a related occupation. Employer will accept a bachelor’s degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, or a related field and five years of progressive postbaccalaureate experience in the job offered or a related occupation as equivalent to a master’s degree and three years of experience. Must have three years of experience in the following skill(s): (1) conducting research in machine learning, natural language processing, computer vision, or a related functionality, and publishing findings; (2) building machine learning models including generative models for business applications, and (3) programming in Java, C++, Python or related language. Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. 40 hours / week, 8:00am-5:00pm, Salary Range $164,955/year to $215,300/year. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit: https://www.aboutamazon.com/workplace/employee-benefits#0000
US, WA, Seattle
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the limits. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you. As an Applied Scientist on our team, you will focus on building state-of-the-art ML models for biology. Our team rewards curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the forefront of both academic and applied research in this product area, you have the opportunity to work together with a diverse and talented team of scientists, engineers, and product managers and collaborate with other teams.
US, WA, Seattle
Applied Scientists in AWS Science of Security are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for security, privacy, and sovereignty. Key job responsibilities The successful candidate will: * Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. * Own the design, implementation, and delivery for solutions that have a long-term quantifiable impact. *Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. * Develop fundamentally new solutions for business problems. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.