D-Wave (NYSE: QBTS), D-Wave is a leader in the development and delivery of quantum computing systems, software, and services. We are the world’s first commercial supplier of quantum computers, and the only company building both annealing and gate-model quantum computers. Our mission is to help customers realize the value of quantum, today. Our quantum computers — the world’s largest — feature QPUs with sub-second response times and can be deployed on-premises or accessed through our quantum cloud service, which offers 99.9% availability and uptime. More than 100 organizations trust D-Wave with their toughest computational challenges. With over 200 million problems submitted to our quantum systems to date, our customers apply our technology to address use cases spanning optimization, artificial intelligence, research and more. Learn more about realizing the value of quantum computing today and how we’re shaping the quantum-driven industrial and societal advancements of tomorrow: www.dwavequantum.com.
You can read more about our company and our innovations in the pages of The Wall Street Journal, Time Magazine, Fast Company, MIT Technology Review, Forbes, Inc. Magazine, Wired and across many whitepapers.
At D-Wave, we’re helping customers realize the value of quantum computing today and are shaping the quantum-driven industrial and societal advancements of tomorrow.
About the role
D-Wave is seeking a skilled Technical Content Writer and Instructor with strong optimization knowledge to write new technical learning materials and support clients in building quantum optimization solutions. In this role, you will collaborate with internal teams and clients to define learning needs, write new curriculum and learning content, manage and improve existing training materials, and deliver high-quality training experiences.
What you'll do
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Collaborate with internal and external SMEs to write content for new and existing courses on quantum computing, optimization methods, problem formulation, programming, algorithms, benchmarking, quantum physics, and related technical topics.
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Formulate optimization problems, clearly communicate modeling decisions, write clean Python code, and analyze solutions.
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Own and drive the design and continuous improvement of curriculum and learning experiences, incorporating feedback, performance data, and evolving best practices.
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Create assessments that align with learning objectives and evaluate effectiveness of curriculum and learning experiences.
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Deliver engaging in-person and virtual training, workshops, and hackathons; support learners with technical setup and troubleshooting.
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Lead train-the-trainer sessions to enable scalable, high-quality instruction across instructors.
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Facilitate alignment across SMEs and stakeholders, resolving ambiguity and driving decisions on content and structure.
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Support online learners through office hours, discussion forums, answering questions, and timely feedback on assignments.
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Contribute to LMS operations, including course setup, updates, and reporting.
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Identify opportunities to improve content, delivery processes, and learner experience.
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Travel (~25%) to support training events, workshops, and client engagements.
What you'll bring
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Master’s degree with 3+ years' experience in operations research, data science, optimization, mathematics, physics, computer science, or related technical field.
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Experience in solving real world optimization problems (discrete or continuous), ideally within industries such as manufacturing, logistics, retail, pharma, fintech, and/or research.
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Strong Python programming skills (2+ years) and experience with version control (e.g., Git).
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Solid understanding of optimization methods such as mixed-integer programming, constraint programming, and advanced heuristic techniques.
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Experience writing technical content for adult learners and delivering instructor-led training (in-person and virtual).
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Ability to collaborate with SMEs and stakeholders to create and refine high-quality learning content.
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Strong communication skills, with the ability to clearly explain complex technical concepts.
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Strong problem-solving, critical thinking, and collaboration skills.
A D-Waver's DNA
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We look at the future and say “why not”; we see possibilities where others see problems or routines. We show the way ahead and are committed to achieving ambitious goals.
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We practice straight talk and listen generously to each other with empathy. We value different opinions and points of views. We ensure that we connect outside as well as inside to learn from others and inspire each other.
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We hold ourselves accountable for delivering results. We make decisions & take responsibility so that we can act & support each other.
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As leaders we motivate & engage our teams to undertake beyond what they originally thought possible, by developing our teams & creating the conditions for people to grow and empower themselves through enabling & coaching.
Our Compensation Philosophy is Simple but Powerful:
We believe providing D-Wavers with company ownership, competitive pay, and a range of meaningful benefits is the start of creating a culture where people want to give the best they’ve got — not because they’re simply making money, but because they’ve fallen in love with our vision, mission, values, and team.
During the interview process, your Recruiter will review our total rewards (base, equity, bonus, perks, benefit, culture) offerings. The final offer is determined by your proficiencies within this level.
Inclusion:
We celebrate diverse perspectives to drive innovation in our pursuit. Our employees range from distinguished domain experts with decades of experience in their respective fields, to bright and motivated graduates eager to make their mark. Our diverse and innovative team will make you feel appreciated, supported and empower your career growth at D-Wave.
The Fine Print:
No 3rd party candidates will be accepted
It is D-Wave Systems Inc. policy to provide equal employment opportunity (EEO) to all persons regardless of race, color, religion, sex, national origin, age, sexual orientation, gender identity, genetic information, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state/provincial, local law.
The base pay range for this role is:
77, 520 - 116,280 USD per year (Remote, United States)
72,400 - 108,600 CAD per year (Remote, Canada)
