D-Wave (NYSE: QBTS), 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 5,000+ qubit AdvantageTM quantum computers, the world’s largest, are available on-premises or via the cloud, supported by 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 Advantage and Advantage2™ systems to date, our customers apply our technology to address use cases spanning optimization, artificial intelligence, research and more.

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 white papers.

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 Senior Algorithm Researcher to help shape and deliver cutting-edge optimization solutions that solve large-scale, real-world problems. In this role, you will design and implement complex algorithms and heuristics as part of our Algorithms, Performance, and Tools (APT) team, working closely with scientists, engineers, and domain experts. Your work will directly impact the development of high-performance optimization solvers and quantum-accelerated services.

No background in quantum physics is required — you’ll collaborate with an interdisciplinary team who are passionate about sharing knowledge and building impactful technology.

What you'll do

Develop new features, algorithm improvements and bug fixes for D-Wave optimization solvers

Design, implement, and refine advanced optimization algorithms — including heuristics and exact methods — for large-scale combinatorial problems

Lead projects and technical initiatives from concept to delivery, requiring minimal oversight beyond strategic alignment

Contribute to the architecture and development of our proprietary solvers and open-source optimization modeling framework

Collaborate cross-functionally with product, engineering, and professional services teams to build and tailor solutions to real customer needs

Stay informed on emerging research in discrete optimization and hybrid quantum-classical algorithms; evaluate and incorporate promising ideas into our solver stack

Proactively identify limitations and opportunities for performance improvements within existing codebases and processes

About You

Graduate degree in Operations Research, Computer Science, Math, Physics, or related field or equivalent experience

4+ years of experience solving complex problems using algorithmic and optimization techniques in an applied setting

Demonstrated experience in developing solvers in at least one of these fields: Constraint Based Local Search, Constraint Programming, Mixed Integer Programming, Routing / Scheduling engines, SAT solvers

Proven ability to implement algorithms in C++ and Python

Experience in combinatorial algorithms and discrete optimization; experience with Gurobi, SCIP, CPLEX, Hexaly, OR-Tools, or similar platforms

Up-to-date understanding of the latest approaches in heuristic and complete methods for discrete optimization

Demonstrated ability to scope and estimate work effectively; able to foresee potential obstacles and adapt plans proactively

Strong technical communication skills — able to present complex ideas clearly and collaborate across disciplines

A mindset of continuous improvement — able to recognize inefficiencies in tooling or processes and advocate for constructive change

Creative problem-solver who takes ownership, exercises sound judgment, and thrives in technically demanding environments

A D-Waver's DNA

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.
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.
We hold ourselves accountable for delivering results. We make decisions & take responsibility so that we can act & support each other.
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 explain our total rewards (base, equity, bonus, perks, benefits, and 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 pay range for this role is:

109,440 - 164,160 CAD per year (Remote (Canada), (Burnaby, British Columbia, CA))

109,440 - 164,160 USD per year (Remote (United States))