2

Remote Rf Optimization Engineer Jobs in Toronto, ON

Remote Duration: 1 month Commitment: 20 hours/week Role Responsibilities * Develop and maintain ... Optimize Python performance through profiling and memory optimization techniques. * Collaborate ...

25-199 - Data Engineer

Oshawa, ON ยท Remote

$92 - $100/hr

CHQ (Hybrid - 3 days remote), 1908 Colonel Sam Drive, Oshawa Job Overview As an Azure and ... Develop optimized, performant data pipelines and models at scale using technologies such as Python ...

25-026 DevOps Engineer

Toronto, ON ยท Remote

CA$80 - CA$100/hr

... Remote) Job Overview We are seeking a skilled DevOps Engineer to support our data analytics ... Infrastructure & Performance Optimization Maintain and optimize cloud-based data lake environments ...

Working very closely with the client team to develop the optimal fast track project execution plan ... to remote locations Skills / Qualifications * Undergraduate or graduate degree in Mining ...

At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your ... remote work) will be discussed at the time of your interview. HowYou'llSucceed * Technical ...

New

Hands-on mastery of setting up and optimizing CI/CD pipelines (GitHub Actions, GitLab CI) and ... Job Location - Remote (USA & Canada) The expected base salary for this position is: CAD 145000/ USD ...

... remote) Job Overview As a Senior Data Developer, you will be responsible for building and ... Develop optimized, performant data pipelines and models at scale using technologies such as Python ...

Contract : 9-12 months, potential to extend / convert Fully remote but must be able to come into ... Write efficient, optimized SQL queries for analytics and reporting use cases. * Implement secure ...

25-176 -Sr. Solutions Engineer

Oshawa, ON ยท Remote

$90 - $100/hr

CHQ - 1908 Colonel Sam Drive, Oshawa (hybrid - 3 days remote) Job Overview We are seeking a highly ... This role will be instrumental in designing, implementing, and optimizing enterprise-grade ...

Contract : 9-12 months, potential to extend / convert Fully remote but must be able to come into ... Write efficient, optimized SQL queries for analytics and reporting use cases. * Implement secure ...

ML/AI Engineer

Toronto, ON ยท On-site +1

CA$110K - CA$150K/yr

The role will be remote. Why Join Levio? * Work on complex,high impactdigital transformation ... Support LLM-based systems, including RAG architectures and inference optimization * Implement CI/CD ...

next page

Showing results 1-20

Remote Rf Optimization Engineer information

What are the key skills and qualifications needed to thrive as a Remote RF Optimization Engineer, and why are they important?

To thrive as a Remote RF Optimization Engineer, you need a solid background in wireless communication principles, network optimization, and a degree in electrical or telecommunications engineering. Familiarity with RF planning tools (such as Atoll, Actix, or TEMS), drive test equipment, and certifications like CCNA or relevant vendor-specific credentials are highly valued. Strong analytical thinking, problem-solving abilities, and effective remote communication skills set top performers apart in this role. These skills ensure optimal network performance, efficient troubleshooting, and seamless collaboration on distributed engineering teams.

What are some common challenges faced by Remote RF Optimization Engineers, and how can they be addressed?

Remote RF Optimization Engineers often encounter challenges such as limited on-site access, coordinating with field teams, and troubleshooting network issues without direct physical observation. These challenges can be addressed by leveraging advanced remote monitoring tools, maintaining clear communication channels with local technicians, and utilizing simulation software to analyze and resolve signal problems. Building strong relationships with cross-functional teams and staying updated on the latest industry best practices also help in effectively managing remote optimization tasks.

What is a Remote RF Optimization Engineer?

A Remote RF Optimization Engineer is a telecommunications professional who specializes in analyzing, optimizing, and improving the performance of wireless radio frequency (RF) networks from a remote location. Their main tasks include monitoring network KPIs, troubleshooting interference or coverage issues, and implementing solutions to enhance signal quality and capacity. Working remotely, they use specialized software tools to access, analyze, and optimize cellular networks such as LTE, 5G, or Wi-Fi, ensuring reliable communication services for users.

What is the difference between Remote Rf Optimization Engineer vs Remote Wireless Network Engineer?

AspectRemote Rf Optimization Engineer

The Remote Rf Optimization Engineer focuses on optimizing radio frequency performance for wireless networks, primarily working on signal quality, interference reduction, and network efficiency. The Remote Wireless Network Engineer also works on wireless systems but has a broader scope, including network design, deployment, and troubleshooting of entire wireless infrastructures. Both roles require knowledge of RF principles and certifications like CWNP, but the Optimization Engineer emphasizes fine-tuning existing networks, while the Network Engineer handles overall network setup and maintenance.

What are the most commonly searched types of Rf Optimization Engineer jobs in Toronto, ON? The most popular types of Rf Optimization Engineer jobs in Toronto, ON are:
What are popular job titles related to Remote Rf Optimization Engineer jobs in Toronto, ON? For Remote Rf Optimization Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Rf Optimization Engineer jobs in Toronto, ON look for? The top searched job categories for Remote Rf Optimization Engineer jobs in Toronto, ON are:
Infographic showing various Remote Rf Optimization Engineer job openings in Toronto, ON as of May 2026, with employment types broken down into 85% Full Time, 8% Part Time, and 7% Contract. Highlights an 4% In-person, and 96% Remote job distribution.

AI Product Engineer, Games (Remote)

Puzzle Cats

Toronto, ON โ€ข Remote

Full-time

Posted 6 days ago


Job description

We believe AI will fundamentally change how games are built and played, from content creation to player experience, and we're building at the frontier of that shift.

Puzzle Cats builds casual mobile games played by tens of millions of people worldwide. We're a small, high-performing team that moves faster than most studios think is possible, taking games from concept to App Store quickly and continuously iterating on live games with millions of active players.

We're looking for an AI Product Engineer who wants to build something big and move fast. This is a hands-on, highly product-oriented role for someone who wants to invent, ship, and scale AI-native game experiences. You'll work across the full development process, from prototype to production, collaborating with designers, engineers, and product teams to launch new games and improve live ones. Features you build can reach millions of players within weeks.

We're especially interested in engineers who don't just tolerate AI tools, they live inside them. Someone who naturally uses tools like Claude, Cursor, OpenAI, or coding agents as part of how they build, understands the code they generate, and knows when to prompt a solution versus writing it from scratch.

You'll own features end-to-end, from gameplay systems and backend infrastructure to analytics, building, shipping, measuring, and iterating quickly based on real player data. We ship fast, test aggressively, and aren't afraid to kill ideas including AI ones if the data doesn't support them.

What You'll Do
  • Use AI to create new player experiences that wouldn't be possible otherwise
  • Build and ship mobile game features in Unity (C#) for iOS and Android, including gameplay mechanics, onboarding flows, monetization experiments, and live-ops systems
  • Prototype and launch new game ideas quickly, moving from concept to playable builds in weeks, not months
  • Design and build AI-powered gameplay and product features, including content generation, personalization, and AI-driven mechanics
  • Design and implement AI systems and pipelines, including RAG, embeddings, tool use, and agents
  • Optimize AI systems for cost, latency, and scalability, including token usage, caching, and model selection
  • Develop and maintain backend systems for live games, including leaderboards, events, A/B testing infrastructure, and cloud services (GCP/Firebase)
  • Collaborate closely with designers and analysts to interpret player data and turn insights into gameplay improvements
  • Own the full lifecycle of your features, including implementation, analytics instrumentation, debugging, and performance optimization
  • Review code and maintain high engineering standards, including AI-generated code
Must-Haves
  • Strong problem-solving ability, a hacker mindset, and deep object-oriented programming knowledge
  • Ability to write clean, maintainable code and move quickly without sacrificing quality
  • Experience integrating real AI features into products, not just using AI tools, but shipping or meaningfully prototyping model-driven functionality
  • Experience integrating LLMs into production systems using OpenAI, Anthropic, or open-source models
  • Strong intuition for how LLMs behave, including prompt design, failure modes, and output quality
  • Experience building and iterating on AI features using real user data
  • 3+ years of production software engineering experience, ideally with shipped mobile apps or games built in Unity (C#) for iOS and Android
  • Experience with Python or JavaScript, cloud infrastructure/back-end systems, and Git
  • Ability to analyze player data and metrics to improve gameplay and product decisions
  • Strong critical thinking, communication skills, and empathy for players
  • Comfort working in ambiguity and figuring things out without playbooks
  • Ability to go from idea to prototype to production in days or weeks, not months
Nice to Have
  • Experience applying AI to gameplay systems, including procedural content generation or LLM-driven systems such as personalization, dialogue, level generation, or dynamic difficulty
  • Experience designing AI pipelines such as RAG, embeddings/vector search, and tool use/function calling
  • Experience fine-tuning or working with open-source models
  • Game design sensibility and a strong feel for what makes mechanics engaging
  • Experience with Python scripting for tooling, automation, or data pipelines
  • Experience optimizing Unity mobile performance, including memory profiling, draw call optimization, and frame-rate debugging
  • Experience shipping multiple mobile game titles
What Success Looks Like in Your First 30 Days
  • Days 17: Ship your first feature or fix to a live game and get familiar with the full stack
  • Days 714: Contribute to a new game prototype and help improve a product metric
  • Days 1430: Operate independently and ship at least one improvement that wasn't originally on the roadmap