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Algorithm Engineer Jobs in British Columbia (NOW HIRING)

Celero Communications, Inc.

Focus on the development of high-performance FEC algorithms crucial for advanced optical modems. This role is ideal for engineers with a strong theoretical foundation in error correction and coding ...

RBC

This role encompasses developing novel algorithms, collaborating with engineering teams, and creating efficient software solutions. Your background in deep learning and strong programming skills will ...

Socket.dev

You will engage in algorithm development for immersive audio experiences, contributing ... engineering to revolutionize how sound is experienced in games with Sony. #J-18808-Ljbffr

New

Sonic Incytes Medical Corp.

CA$100K - CA$170K/yr

The Lead Research & Development Engineer drives end-to-end problem solving across algorithm ... development, hardware, firmware, and software systems. This role is focused on translating complex ...

Cadence

Our team has strong expertise in numerical solvers and circuit simulation algorithms. We're looking for a motivated distributed systems engineer to help build the scalable data processing ...

PDF Solutions

Senior Python Software Developer

Vancouver, BC · On-site

CA$120K - CA$155K/yr

Broken into steps, the work is roughly an equal mix of tweaking core ML algorithms / pipelines for ... Interact with Software Engineers and Data Scientists to create clean API interfaces Qualifications

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Algorithm Engineer information

See British Columbia salary details

$63.5K

$122.7K

$168K

How much do algorithm engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for algorithm engineer in British Columbia is $122,658.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $147,500.00 per year, depending on experience, location, and employer.

What are the typical challenges an algorithm engineer faces in their day-to-day work?

Algorithm Engineers often encounter complex problems that require creative, efficient solutions within strict performance or resource constraints. They may need to optimize existing algorithms, develop new ones from scratch, and ensure seamless integration into larger software systems, often while balancing accuracy, speed, and scalability. Collaborating with other engineers, data scientists, and product teams to align technical efforts with business goals is also a regular part of the job. Staying updated with the latest advancements in algorithms and technology is essential, making continuous learning a key aspect of the role.

How much does an Algorithm Engineer make?

The average salary for an Algorithm Engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning or data analysis can earn higher salaries, often exceeding $180,000. Compensation may also include bonuses and stock options in some companies.

What does an algorithm engineer do?

An Algorithm Engineer designs, develops, and optimizes algorithms to solve complex computational problems. They analyze data, improve system performance, and implement mathematical models for various applications, such as machine learning, computer vision, and optimization. This role requires proficiency in programming languages like Python or C++, strong mathematical skills, and an understanding of data structures and algorithms. Algorithm Engineers work closely with software developers, data scientists, and researchers to integrate efficient solutions into real-world systems.

What are the key skills and qualifications needed to thrive as an algorithm engineer?

To thrive as an Algorithm Engineer, you need a strong background in mathematics, computer science, and programming, usually demonstrated with a degree in these fields and experience in algorithm design and analysis. Familiarity with languages like Python, C++, or Java, and tools such as MATLAB or TensorFlow, as well as relevant certifications like those in data science or machine learning, are typically advantageous. Outstanding problem-solving abilities, analytical thinking, and effective communication are critical soft skills for success in this role. These competencies are crucial because they enable Algorithm Engineers to design efficient, innovative solutions and collaborate seamlessly with multidisciplinary teams.

What job categories do people searching Algorithm Engineer jobs in British Columbia look for? The top searched job categories for Algorithm Engineer jobs in British Columbia are:
What cities in British Columbia are hiring for Algorithm Engineer jobs? Cities in British Columbia with the most Algorithm Engineer job openings:
What are popular job titles related to Algorithm Engineer jobs in BC? For Algorithm Engineer jobs in BC, the most frequently searched job titles are:
Algorithm Engineer jobs near you
Infographic showing various Algorithm Engineer job openings in British Columbia as of July 2026, with employment types broken down into 2% Locum Tenens, 55% Full Time, 31% Part Time, and 12% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $122,658 per year, or $59 per hour.

Compiler Engineer - Algorithmic Workloads Compilation

Mythic

Vancouver, BC • On-site

Full-time

Re-posted 6 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
Help push the boundaries of what can run on our accelerator. You'll design compiler IRs and lowering strategies to support algorithmic workloads with irregular or dynamic control flow-loops, branches, and iterative methods-going beyond static neural networks. Working side by side with hardware engineers, you'll influence ISA and execution model co-design to unlock new algorithm classes on analog and digital subsystems. The result: a compiler that makes complex algorithms practical to deploy while staying seamless for developers.
Here's what you will do
  • Extend compiler IRs to represent algorithms not easily captured in DNN graphs including control flow and iterative computation
  • Develop compilation strategies that unify analog compute with digital subsystems while maintaining performance and correctness
  • Prototype and optimize algorithms with irregular or dynamic control flow in compiler IRs, applying techniques such as vectorization, predication, and scheduling
  • Collaborate with hardware engineers to co-design ISA and features that improve support for algorithmic workloads
  • Define a roadmap for higher-level programming abstractions that simplify prototyping and accelerate deployment
Here's the background we hope you will have
  • 3+ years of professional experience in compilers or high-performance systems software
  • Proficiency in modern C++ (C++14/17/20) and Python
  • Familiarity with compiler IRs (e.g., MLIR, LLVM, or equivalent) and their use representing complex program structures
  • Solid foundation in program analysis and optimization techniques (e.g., SSA form, loop optimizations, vectorization)
The following would be nice to have, but is not required
  • Hands-on experience developing MLIR or LLVM dialects for control flow (e.g. scf, cf) or affine/polyhedral representations.
  • Background in compiler-hardware co-design: working with hardware designers to refine ISA or execution models for efficiency
  • Proven ability to prototype irregular or control-flow algorithms in compiler IRs and optimize them for performance and resource constraints
  • Experience extending ML compiler stacks (ONNX, IREE, XLA, PyTorch, TVM) to support workloads beyond DNNs
What we offer
  • The opportunity to make algorithmic and control-flow-heavy workloads practical on novel accelerator hardware.
  • A role that bridges compiler design and hardware co-design, shaping both the IR and the accelerator architecture.
  • A collaborative, innovative team that values engineering rigor, continuous integration, and user-focused design.
  • 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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