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Robotics Software Developer Jobs in British Columbia

Hall Group of Companies

Surveyor

Langley, BC · On-site

... engineering. * 2+ years of experience in land surveying, civil construction, or a related field. * Proficiency in AutoDesk Civil 3D, Topcon GNSS/Robotic Total Station systems using Pocket 3D software ...

Niricson

Data Capture Field Technician

Victoria, BC

By combining robotics, AI, advanced sensing technologies, and data analytics, Niricson helps ... We're a team of engineers, innovators, and problem-solvers passionate about building technology ...

Niricson

Data Capture Field Technician

Victoria, BC · On-site

By combining robotics, AI, advanced sensing technologies, and data analytics, Niricson helps ... Were a team of engineers, innovators, and problem-solvers passionate about building technology with ...

HollisWealth

IT Business Analyst

Vancouver, BC · Hybrid

... AI, robotics, and automation, and provide administrative support for the Centres of Excellence for AI and for Citizen Development (in support of the VP, Automation and Software Engineering)

United Airlines

Sr. IZWS Scheduler Expert

Vancouver, BC

CA$62K - CA$147K/yr

From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide unique R&D and engineering services across all industries. Join us for a ...

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Robotics Software Developer information

What is the difference between Robotics Software Developer vs Mechatronics Engineer?

AspectRobotics Software DeveloperMechatronics Engineer
Required CredentialsBachelor's in Computer Science, Robotics, or related field; programming certificationsBachelor's in Mechatronics, Mechanical, or Electrical Engineering
Work EnvironmentSoftware development teams, labs, robotics companiesDesign, integrate mechanical and electronic systems, manufacturing settings
Industry UsageRobotics firms, automation companies, research labsManufacturing, automation, product design
Common Search/ComparisonYesNo

Robotics Software Developers focus on programming and developing software for robotic systems, while Mechatronics Engineers work on designing and integrating mechanical, electronic, and software components. Both roles often collaborate but differ mainly in their core responsibilities and skill sets.

What are some common challenges faced by Robotics Software Developers in integrating hardware and software components?

Robotics Software Developers often encounter challenges related to ensuring seamless communication between software algorithms and diverse hardware components like sensors, actuators, and controllers. Differences in hardware specifications, real-time constraints, and debugging low-level hardware interactions can add complexity to development. Collaborating closely with hardware engineers is essential to address issues quickly and optimize system performance. Staying up to date with new frameworks and tools, such as ROS (Robot Operating System), also helps streamline integration and testing.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Executive-level engineering roles or those with significant leadership responsibilities may also reach this compensation level.

What does a Robotics Software Developer do?

A Robotics Software Developer designs, develops, and maintains the software that controls robotic systems. They write code that enables robots to sense their environment, make decisions, and perform tasks autonomously or semi-autonomously. These developers often work with embedded systems, artificial intelligence, and machine learning to improve robot performance. Their work is essential for applications ranging from manufacturing automation to healthcare and service robots.

What are the key skills and qualifications needed to thrive as a Robotics Software Developer, and why are they important?

To thrive as a Robotics Software Developer, you need strong programming skills in languages such as C++, Python, or ROS, along with a background in computer science, engineering, or robotics. Familiarity with robotics simulation platforms (e.g., Gazebo), version control systems (e.g., Git), and experience with sensor integration and real-time operating systems are typically required. Problem-solving, teamwork, and effective communication are essential soft skills to excel in multidisciplinary environments. These abilities ensure reliable development, integration, and deployment of robotic systems that meet both technical and user requirements.

What engineers make $300,000 a year?

Senior robotics software developers with extensive experience, specialized skills in AI, machine learning, and real-time systems, and often working in high-demand industries or companies can earn $300,000 or more annually. Achieving this level typically requires advanced degrees, certifications, and a strong track record of project success.

How much do robotic programmers make?

Robotic programmers, or robotics software developers, typically earn a median annual salary of around $80,000 to $120,000, depending on experience, location, and industry. Skilled programmers with expertise in programming languages like C++ and Python, as well as knowledge of robotic systems and tools, tend to earn higher salaries.

Can a software engineer work in robotics?

Yes, a software engineer can work in robotics by developing control algorithms, embedded systems, and software for robotic hardware. Skills in programming languages like C++ and Python, as well as knowledge of robotics frameworks such as ROS, are often required. Many robotics roles also require understanding of sensors, actuators, and real-time systems.
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Robotics Software Developer jobs near you
Compiler Engineer - Machine Learning Compiler

Compiler Engineer - Machine Learning Compiler

Mythic

Vancouver, BC • On-site

Full-time

Posted 26 days ago

Job description

About us

Mythic is building the future of AI computing with breakthrough analog technology that delivers 100 the performance of traditional digital systems at the same power and cost. This unlocks bigger, more capable models and faster, more responsive applications-whether in edge devices like drones, robotics, and sensors, or in cloud and data center environments. Our technology powers everything from large language models and CNNs to advanced signal processing, and is engineered to operate from -40 C to +125 C, making it ideal for industrial, automotive, aerospace, and defense.
We've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets.

About the role

Join us in building the next generation of AI compilers. You'll play a key role in developing the compiler for our novel AI accelerator, working side-by-side with hardware engineers and ML researchers. Your work will shape how deep learning workloads run on cutting-edge dataflow hardware-defining the instruction set, execution model, and developer experience. The result: a compiler that delivers breakthrough performance while remaining seamless and intuitive for ML developers.
Here's what you will do
  • Contribute across the full compiler stack, including operator lowering, graph/IR transformations, optimization passes, and backend code generation
  • Optimize for dataflow architectures, developing pipelined schedules, memory orchestration, and resource-constrained execution strategies
  • Collaborate with hardware architects to influence architectural features, ensuring the compiler and hardware evolve together
  • Develop compilation strategies that unify our analog compute with digital subsystems
  • Build and maintain a compiler that produces high-performance binaries with strong debugging support, clear error messages, and predictable performance models
Here's the background we hope you will have
  • 3+ years of experience building compilers or high-performance systems software, especially those involving complex resource management or optimization.
  • Expert in modern C++ (C++14/17/20) and strong Python.
  • Experience with compiler IRs (SSA-based or graph-based), transformations, and code generation
  • Exposure to specialized accelerators (GPU, NPU, FPGA, or custom ASIC) or parallel architectures
The following would be nice to have, but is not required
  • Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with contributions to MLIR or LLVM projects a plus
  • Experience with optimization methods (LP/MIP, CP, SAT/SMT) using solvers like Gurobi or OR-Tools for scheduling and resource allocation
  • Experience compiling for specialized accelerators (GPU, NPU, FPGA, or custom ASIC) on DNN workloads; GPU/DSP experience is valuable if combined with compiler backend work beyond kernel tuning
  • Familiarity with heterogeneous compilation, especially mixing custom accelerators with CPUs/GPUs/NPUs, and exposure to analog or in-memory compute is a plus
  • Experience collaborating in compiler-hardware co-design (architecture + ISA) for better compiler usability and hardware efficiency
What we offer
  • The opportunity to shape how deep learning and LLM workloads are compiled on novel hardware.
  • A role that spans software and hardware co-design, shaping both the compiler and the accelerator architecture
  • A collaborative, innovative team that values engineering rigor, continuous integration, and user-focused design. We foster an environment of shared learning and technical excellence
  • Competitive compensation, equity, and benefits package
At Mythic, we foster a collaborative and respectful environment where people can do their best work. We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver. Our team brings a wide range of experiences and perspectives, which we see as a strength in solving hard problems together. We value professionalism, creativity, and integrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully.
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