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Sr Applied Research Scientist

About ZeroKey

At ZeroKey we have one mission; to drive optimization through digital transformation.

Our world is inherently analog, rendering most “things” invisible to the digital domain. ZeroKey is changing that, one factory, warehouse, and facility at a time.

Through our patented and breakthrough IIoT localization technology, Smart Space, ZeroKey is digitizing things that have never been digitized before. Driven by Smart Space’s millimetre-level 3D digitization accuracy, we’re bringing real-world workflows and processes into the digital realm like never before to power previously impossible digital solutions that redefine state-of-the-art.


ZeroKey is a venture funded, high growth tech company headquartered in Calgary, with regional offices opening soon in Toronto, Silicon Valley, and Stuttgart. Originally started in mid-2016, ZeroKey has experienced several consecutive years of tremendous growth on the order of 9,000% annually. Today, with 24+ core patents and products in use across an exponentially growing client list reaching over 15 different countries and 3 different continents, we are excited to be adding this new role to the team along with several others as part of our long-term growth plan.


Want to know what it’s like to work at ZeroKey? Join us for a tour of our brand new 20,000 sq. ft. facility in Calgary’s Airways industrial park: https://www.youtube.com/watch?v=R8EGcdF-bds&t=19s


Job Description

As a Senior Applied Research Scientist, you will play an influential role within our R&D team and work to shape the future of key underlying principles that power ZeroKey’s breakthrough Smart Space technology. The successful applicant will have a strong aptitude for problem solving, team-oriented development, and specialized technical expertise in object ranging and positioning.


Operating within our R&D team, the role spans a variety functions, supporting applied research objectives including the development of mathematical models, solving optimization problems, and performing data analysis. The role requires an individual who is self-motivated, requires little supervision, possesses strong academic abilities while demonstrating a willingness to work with team members of all experience levels to efficiently achieve project milestones.


General Role & Responsibilities

  • Write MATLAB models and simulations
  • Solve numerical problems typically found in scientific computing applications such as global optimization
  • Improve robustness of current implementations
  • Develop solutions to object ranging and object positioning problems
  • Analyze and review test data for trends
  • Perform verification activities, working with physical test fixtures as necessary
  • Deliver high-quality test reports for internal and external distribution
  • Deliver high-quality code and documentation following standard methodologies for evolving development
  • Work within project deadlines, be flexible, and produce high quality work
  • Participate in integrated project team activities involving representatives from R&D, H/W engineering, F/W development, and customer support teams
  • Effectively communicate progress and problems to management and other departments.


Experience and Education:

  • Ph.D. (preferred) in engineering, computer science, or mathematics
  • Minimum 10 years of experience in an applied research role working with numerical problems


Required Skills:

  • Commanding knowledge of:
  • signal processing
  • linear algebra
  • global optimization
  • Programming experience in MATLAB and C/C++, Python or equivalent
  • Familiarity with version control systems such as git
  • Meticulous attention to detail
  • Critical and pragmatic thinking
  • Self-motivated, independent learner
  • Comfortable participating in team environments
  • Excellent written and verbal communication skills


Job Types: Full-time, Permanent

Salary: $100,000.00-$125,000.00 per year


Benefits:

  • Casual dress
  • Company events
  • Dental care
  • Disability insurance
  • Discounted or free food
  • Extended health care
  • Flexible schedule
  • Life insurance
  • Paid time off
  • Vision care
  • Work from home


Schedule:

  • 8 hour shift
  • Monday to Friday


COVID-19 considerations:

We strictly adhere to municipal, provincial, and federal COVID-19 guidelines. This includes work from home arrangements, only essential staff permitted in-office, mandatory mask usage in all office common areas, and increased sanitization schedules.


Education:

  • Doctoral Degree (Preferred)


Experience:

  • Applied Research with numerical problems: 10 years (Preferred)


Work remotely:

  • Temporarily due to COVID-19


COVID-19 precaution(s):

  • Remote interview process
  • Personal protective equipment provided or required
  • Social distancing guidelines in place
  • Virtual meetings
  • Sanitizing, disinfecting, or cleaning procedures in place


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