MaintainX is the world's leading Asset and Work Intelligence platform for industrial and frontline environments. We are a modern IoT-enabled cloud-based tool for reliability, safety, and operations on physical equipment and facilities. MaintainX powers operational excellence for 13,000+ businesses including Duracell, Univar Solutions Inc., Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell.

We recently completed a $150 million Series D funding round, bringing our total funding to $254 million and valuing the company at $2.5 billion.

As the AI GTM Engineer, Growth Marketing, you’ll build and scale the technical foundation behind MaintainX’s acquisition engine. Reporting to the VP, Growth Marketing & Strategy, this is a hands-on, embedded role within the Growth Marketing team, where you will partner directly with marketers to design, build, and launch campaigns powered by automation and AI. You won’t operate as a separate engineering function, you’ll work side-by-side with Customer Marketing, Performance Marketing, SEO & GEO, Lifecycle, and Field Marketing teams to turn campaign ideas into scalable systems and live experiments. This role is critical to building an AI-native, system-driven marketing engine at MaintainX, enabling us to scale acquisition through automation, personalization, and experimentation.

What you'll do:

• Partner with Marketing to Build & Launch Campaigns
• Work directly with Growth marketers to ideate, design, and launch acquisition campaigns
• Translate campaign ideas into scalable systems, automations, and experiments
• Rapidly prototype and iterate on new growth plays (landing pages, outbound, paid, lifecycle)
• Build Systems That Power Campaign Execution
• Develop tooling for programmatic landing pages, ad creative generation, and email workflows
• Enable marketers to launch campaigns faster through reusable systems and automation
• Balance speed (quick tests) with scalability (systems that can be reused)
• Embed AI into Marketing Workflows
• Partner with marketers to identify high-leverage use cases for AI in campaigns
• Build and deploy AI-driven systems for:
• Creative generation and testing
• Personalization across channels
• Outbound messaging and sequencing
• Turn one-off experiments into repeatable campaign infrastructure
• Own Experimentation with Marketing
• Co-design and implement experiments across paid, SEO, lifecycle, and web
• Build tooling to track performance, attribution, and testing outcomes
• Enable faster, data-driven iteration across campaigns

Audience, Segmentation & Personalization

• Partner with marketers to define target audiences and ICP segments
• Build systems to dynamically segment, enrich, and activate audiences across channels
• Enable real-time personalization across the funnel

• Marketing Data & Performance
• Ensure clean data flows from marketing channels into CRM and analytics systems
• Build dashboards and reporting layers for campaign performance and funnel metrics
• Improve visibility into CAC, conversion rates, and pipeline generation 

What you’ll bring:

Technical Skills

• Strong programming ability (Python, JavaScript, or similar)
• Experience working with APIs, automation frameworks, and event-driven systems
• Strong SQL skills and experience with data warehouses (Snowflake, BigQuery, etc.)
• Experience integrating tools like Salesforce, HubSpot, Segment, Webflow, etc.
• Experience deploying AI/LLM workflows into production
• Marketing Systems Experience
• Experience working closely with marketing teams to build and launch campaigns
• Strong understanding of paid media, SEO, lifecycle marketing, and web conversion flows
• Experience building systems that directly support campaign execution and optimization
• Mindset
• Thinks like a marketer, builds like an engineer
• Optimizes for speed, iteration, and measurable impact
• Focused on pipeline and revenue outcomes, not just outputs
• Defaults to automation and scalable systems over manual work

About you:

• 5+ years in growth engineering, marketing engineering, or technical growth roles, with experience building systems that support marketing and acquisition.
• Strong ability to partner with marketers to design and launch campaigns, and translate those into scalable systems and automation.
• Proficiency in SQL and at least one programming language (e.g., Python, JavaScript), with experience building scripts, workflows, or internal tools.
• Experience working with APIs, data pipelines, and integrating marketing tools (e.g., Salesforce, HubSpot, Segment).
• Experience applying AI/LLMs to automate or scale marketing workflows (e.g., content generation, personalization, outbound).
• Solid understanding of paid media, SEO, lifecycle marketing, and experimentation frameworks.
• Strong analytical skills with experience in testing, attribution, and performance measurement.
• Entrepreneurial mindset: thrives in fast-paced, test-and-learn environments with a bias toward speed and execution.
  
  

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrolment program.
• Take what you need PTO.
• A Work Culture where:
• You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
• We believe in meritocracy, where ideas and effort are publicly celebrated.

About us:

Our mission is to make the life of blue-collar workers easier worldwide by creating software that meets their needs and realities. Our product is truly life-changing for 80% of the workforce that doesn’t work behind a desk and needs enterprise-grade software at their fingertips.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

About Behavox

Behavox is a cloud-native AI company providing an integrated controls platform for global banks, asset managers, hedge funds, private equity firms, insurance businesses, and commodity firms. The platform unifies communications and trade surveillance, compliant archiving, policy management as well as front-office analytics on a single, AI-native technology stack, delivered as a globally scalable SaaS-based cloud service.

At Behavox, our engineering culture is built around speed, experimentation, and technical excellence, following agile principles and rapid iteration. We constantly test and adopt the latest cloud technologies and AI tooling, optimising for fast feedback loops and execution. We look for people who can move fast, challenge conventional wisdom, and who want to work at the frontier of modern AI, SaaS platforms, and distributed systems.

Behavox is a high-performance organisation with a strong bias toward delivery, ownership, and responsibility. We commit, and we execute. We are building systems that are complex, mission-critical, and global in scale; systems that many consider too large or too difficult. To do that, we seek the smartest, most technically capable engineers and technologists who take end-to-end responsibility and want to win by building what others cannot.

Founded in 2014 and backed by SoftBank Vision Fund, Behavox is headquartered in London, with offices worldwide, including New York City, Montreal, Seattle, Singapore, and Tokyo.

About the Role

The Software Engineer (Java) operates at a senior engineer level, driving technical direction across core product domains. The role combines deep hands-on Java engineering with architectural ownership — from high-level system design and technology selection to leading delivery of critical, cross-cutting platform capabilities.

At this level, engineering excellence extends beyond implementation: the engineer determines the right approach to complex problems, communicates technical decisions across functions, participates in hiring, and is accountable for the long-term health of the systems they own. This level demands sound judgment on technology and business trade-offs and the ability to act as a technical lead. A defining expectation is mastery of AI-assisted engineering — leveraging agentic AI tools as force multipliers while retaining full ownership of architecture, quality, and technical outcomes.

What You'll Bring

• Expert Java engineering: Deep understanding of Java internals — GC tuning, Collections Framework, advanced concurrency (java.util.concurrent, multithreading), NIO/NIO2, performance profiling, and heap-dump analysis. Mastery of Spring Framework (IoC/DI, bean lifecycle, Spring Boot). SOLID principles, Clean Code practices, and GoF design patterns
• Software architecture and design patterns: Expertise in monolith and microservices architectural styles — including migration patterns and domain-driven decomposition. Inter-process communication design (REST, gRPC, messaging), transaction management in distributed systems (Sagas, 2PC), CQRS, Event Sourcing, and external API design focused on scalability, security, and documentation
• Cloud-native platforms and infrastructure: Experience designing high-availability and high-load systems on GCP (preferred), AWS, and Azure. Cloud security best practices: IAM, VPC, data encryption, JWT/JWS/JWE. Infrastructure as Code (Terraform or equivalent) and Twelve-Factor App methodology
• Observability, reliability and deployment: Implementing full observability stacks: structured logging, distributed tracing, metrics, and alerting. SLI/SLO/SLA frameworks. Deployment strategies: Rolling Updates, Blue/Green Deployments, Canary Releases
• AI-assisted engineering: Practitioner-level command of agentic AI tools applied to software engineering — encompassing prompt engineering techniques, AI context management and its limitations, sub-agents, skills and plugins, multi-agent orchestration, and team-of-agents architectures. Experience with Claude Code (Anthropic), Codex (OpenAI), or equivalent is mandatory

What You'll Do

• Architecture and technology leadership: Lead high-level design for complex, cross-service features. Evaluate and select appropriate technologies, frameworks, and architectural patterns before delegating implementation. Produce and maintain architecture documentation: design docs, ADRs, tech specs, and wiki pages
• Advanced Java feature implementation: Own and implement critical product components — including prototyping, architecture validation, and production-grade code. Ensure correctness, performance, and long-term maintainability with comprehensive test coverage (unit, integration, contract, component)
• Technical roadmap contribution: Drive the engineering agenda for assigned product areas. Proactively identify gaps in requirements, architectural limitations, and technical risks. Contribute to product roadmap planning and delivery estimation. Participate in hiring processes
• Cross-functional technical communication: Drive technical communication across engineering, product, DevOps, and ML teams. Communicate technical decisions clearly to non-technical stakeholders. Produce design documents and participate in tech talks and knowledge-sharing sessions
• AI-augmented engineering: Direct agentic AI tools (Claude Code, Codex, or equivalent) across the full engineering workflow — code generation, testing, refactoring, debugging, and documentation. Demonstrated ability to apply advanced prompt engineering, manage AI context limitations, compose multi-agent orchestration workflows, and critically evaluate AI-generated outputs for correctness, security, and quality. Ability to establish guardrails and improve agent configurations to raise the quality bar. AI proficiency amplifies — it does not replace — deep engineering judgment and technical accountability

What We Offer

• The opportunity to work on a global, mission-critical AI platform alongside the best engineers and technologists across multiple geographies
• A role with real ownership and impact, building complex systems at scale in an environment that values speed, experimentation, and technical excellence
• A highly attractive benefits package, including competitive cash compensation, an equity award aligned with long-term value creation, and comprehensive health insurance for employees and their families
• Modern, comfortable offices in Montreal/ Toronto downtown, with an expectation of working from the office 1 day per week, reflecting our belief in strong in-person collaboration, while remaining flexible to accommodate remote work for candidates who live in other Canadian cities
• A generous time-off policy of 30 days annually, plus public holidays and sick leave, recognising the importance of sustained high performance

About Our Process

Our selection process is designed to rigorously assess a candidate’s depth of technical knowledge, problem-solving ability, and alignment with Behavox’s mission and core values.

As part of the process, candidates will first participate in a series of interviews focused on evaluating their technical expertise and engineering judgment. Candidates who successfully progress through these interviews will then be invited to complete a live technical exercise. The purpose of this live technical assessment is to validate the candidate’s stated technical competencies and assess their ability to solve complex problems with speed, accuracy, and sound engineering judgment. Note that whenever possible, we aim to conduct interviews in person at our offices.

We recognise and respect the time candidates invest in this process. In return, Behavox commits significant time and resources to ensure that those who join us have the capability, judgment, and alignment required to operate at the speed and level of complexity our work demands. We value efficiency and clarity on both sides; if at any point we determine that a candidate is not a fit, we reserve the right to immediately conclude the interview or the technical assessment.

Please note the following:

• A core objective of the process is to objectively assess individual knowledge and competencies. The use of AI tools or external assistance during live interviews or technical exercises is strictly prohibited (unless explicitly instructed otherwise) and will result in immediate disqualification.
• Interviews and technical sessions may be recorded for internal review to support fairness, consistency, and collaborative decision-making within the hiring team.

SUMMARY

As a Senior Solutions Engineer, you will be responsible for supporting our enterprise customers, reporting to the regional Enterprise Solutions Engineering Manager. You will partner directly with regional account executives to help change our customers view and how they approach cloud security. You will be their trusted advisor for all matters related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve the maximum value from our solution. 

WHAT YOU’LL DO

• Partner with the sales team to provide technical leadership to our customers and prospective customers in conjunction with helping our team meet their quarterly sales targets.
• Provide presentations to our customers and prospective customers such as whiteboards,  product demonstrations, slides, and proof of value outcomes.
• Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value).
• Invest time in learning new product features, industry related developments, and broadening your overall technical skillset.
• Represent Wiz in technical forums such as trade shows, technical meetups,  and industry events.

WHAT YOU’LL BRING

• Ability to deliver world class demonstrations and training experience to our channel customers
• Mastered the technical sales process
• Thrive in a creative technical role assisting partners to build a technical business delivery model
• Experience in a sales engineering role delivering solutions to C-level executives at enterprise customers
• Ability to travel
• Cloud security experience
• AWS/Azure/GCP hands on experience
• Network engineering experience
• Strong operating system, virtual machine, and container knowledge
• Knowledge of risk-based security assessments and frameworks
• Understanding of cloud identity, access, certificates, and keys

BONUS POINTS: 

• Experience with traditional CSPM tools
• SaaS experience
• Awareness of the CI/CD process
• Familiarity with Infrastructure as Code

SUMMARY

As a Senior Solutions Engineer, you will be responsible for supporting our enterprise customers, reporting to the regional Enterprise Solutions Engineering Manager. You will partner directly with regional account executives to help change our customers view and how they approach cloud security. You will be their trusted advisor for all matters related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve the maximum value from our solution. 

WHAT YOU’LL DO

• Partner with the sales team to provide technical leadership to our customers and prospective customers in conjunction with helping our team meet their quarterly sales targets.
• Provide presentations to our customers and prospective customers such as whiteboards,  product demonstrations, slides, and proof of value outcomes.
• Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value).
• Invest time in learning new product features, industry related developments, and broadening your overall technical skillset.
• Represent Wiz in technical forums such as trade shows, technical meetups,  and industry events.

WHAT YOU’LL BRING

• Ability to deliver world class demonstrations and training experience to our channel customers
• Mastered the technical sales process
• Thrive in a creative technical role assisting partners to build a technical business delivery model
• Experience in a sales engineering role delivering solutions to C-level executives at enterprise customers
• Ability to travel
• Cloud security experience
• AWS/Azure/GCP hands on experience
• Network engineering experience
• Strong operating system, virtual machine, and container knowledge
• Knowledge of risk-based security assessments and frameworks
• Understanding of cloud identity, access, certificates, and keys

BONUS POINTS: 

• Experience with traditional CSPM tools
• SaaS experience
• Awareness of the CI/CD process
• Familiarity with Infrastructure as Code

At Higher Logic, engagement happens here. As the industry-leading, human-focused engagement platform, we deliver powerful online communities and communication tools to organizations looking to build, retain, and grow their member or customer base. We’re obsessed with engagement—and with 13+ years of experience in the industry, we’ve got it down to a science. We are a global company with offices throughout the US, Canada, and Australia. We serve more than 3,000 customers, representing over 350,000 online communities with over 200 million users across 42 countries worldwide.

Our team is a thriving community of authentic people with diverse experiences and perspectives. We are honest and genuine and believe that sharing ideas and feedback openly helps us to be successful. We believe that diversity and empathy bring us #AllTogether to make us stronger. We learn from failure and successes because both help us to grow and learn. We strive to understand the why behind our actions and bring our best selves to work every day.

Job Description

Higher Logic Vanilla is looking for a Senior Software Developer (Backend / PHP) who thrives at the intersection of product engineering, scalability, and modern developer workflows—including AI-assisted development. You’ll help build and evolve the core application systems that power rich community experiences for millions of users worldwide.

This role is primarily focused on backend and platform development, but success in this position requires strong product thinking, sound engineering judgment, and the ability to work effectively in a large, mature application with complex integrations, extensibility points, and performance considerations.

This is a great fit for someone who can own meaningful technical work, raise engineering standards, and use AI tools responsibly to accelerate delivery without compromising quality, security, or maintainability.

What You'll Do:

• Build, maintain, and ship high-quality product features in a multidisciplinary Agile team.
• Design and evolve backend systems that support large-scale, highly configurable community applications.
• Work across core application layers, APIs, integrations, and platform capabilities to deliver reliable end-to-end solutions.
• Write reliable, well-tested code; participate in code review; mentor teammates through thoughtful feedback and shared patterns.
• Triage, debug, and resolve production issues efficiently; collaborate closely with product, QA, support, and other engineers to close the loop quickly.
• Contribute to application performance, scalability, resilience, and maintainability across a large and evolving codebase.
• Help shape technical direction by improving architecture, coding standards, tooling, documentation, and team development practices.
• Participate in guild or cross-team engineering discussions to strengthen backend practices and promote sustainable patterns across the organization.

AI-Forward Development Responsibilities

• We’re looking for a software developer who is excited to rethink how software is built—someone eager to work in an AI-native, agentic development environment, where developers collaborate with intelligent agents to design, build, and iterate faster.
• Use AI-powered IDEs and assistants (e.g., Cursor, Copilot-style tools) to accelerate implementation, refactoring, debugging, and test generation—while ensuring correctness, security, and maintainability.
• Apply AI thoughtfully: write strong prompts, verify outputs, and incorporate guardrails such as automated tests, static analysis, code review, and runtime validation.
• Help define best practices for AI-assisted engineering, including where automation is most effective, what requires human review, and how to evaluate output quality in a production environment.
• Partner on AI-enabled product and platform initiatives where relevant, including areas like moderation tooling, content workflows, search and discovery, summarization, admin productivity, and internal developer efficiency.

What We’re Looking For (Required)

• Strong understanding of Agile values and principles.
• Strong software engineering fundamentals, including object-oriented design, modular architecture, and maintainable coding practices.
• Experience building and supporting production applications at scale, with attention to performance, reliability, and long-term maintainability.
• Experience designing and working with APIs and service boundaries in complex systems.
• Ability to debug effectively, reason through production issues, and make sound tradeoffs in a large application environment.
• Awareness of security best practices and experience identifying or addressing vulnerabilities in web applications.
• Comfort working in containerized or modern local development environments and with contemporary engineering workflows.
• Comfort with Git-based workflows, pull requests, and collaborative code review.
• Practical experience using AI coding tools (Cursor or equivalent) in day-to-day development, including validating generated code and avoiding insecure or low-quality patterns.

Desired Qualifications

• 5+ years of professional software development experience building and maintaining production web applications.
• Experience working in a large, mature application or platform with significant business logic, legacy considerations, and evolving architecture.
• Experience with extensible or modular systems such as themes, plugins, integrations, or configurable platform features.
• Experience working with asynchronous processing, background jobs, queues, or event-driven patterns.
• Familiarity with database-backed applications and the performance considerations that come with them.
• Experience with testing practices and tools that build confidence through automation.
• Strong product instincts: you communicate tradeoffs well, care about user outcomes, and understand how technical decisions affect the customer experience.
• Experience contributing to technical mentoring, architectural improvements, or shared engineering standards.

What You’ll Earn

• Competitive compensation.
• Comprehensive health benefits package.
• 401(k) plan with employer match.
• Healthcare and dependent-care flexible spending account.
• Company short-term and long-term disability insurance.
• Company culture that recognizes its employees.
• Room for growth and development and management that cares about your professional growth and will help you achieve your goals.
• Significant advancement opportunities for outstanding performers.

Meet the Team: 
As a Machine Learning Engineer II – Learned Behaviors, you will help develop and deploy  behavior models that power decision-making for autonomous trucks. Working closely with teams across perception, prediction, planning, and safety, you will contribute to learned behavior modules that enable safe, efficient, and human-like driving in real-world freight operations. 
 
This role focuses on building, validating, and improving machine learning models and infrastructure that support learned behavior systems within the autonomy stack. 
 
What You’ll Do 

• Develop and train machine learning models for learned behavior systems, including approaches such as behavior cloning, imitation learning, and reinforcement learning. 

• Implement production-quality ML code to support model training, evaluation, and inference within the autonomy stack. 

• Analyze model performance, identify failure modes, and propose improvements to increase robustness and generalization across scenarios. 

• Contribute to model training pipelines and data workflows, curating behavior datasets from simulation, fleet logs, and on-vehicle data. 

• Collaborate with simulation, validation, and autonomy engineering teams to test and evaluate learned behavior models across diverse driving environments. 

• Help integrate learned behavior models into simulation and testing workflows, enabling faster iteration and more comprehensive validation. 

• Support the development of tooling and infrastructure that improves experimentation speed, reproducibility, and model iteration. 

• Contribute to technical discussions around model architecture and training strategies within the team. 

 
 
 
 
What You’ll Need to Succeed 

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of industry experience, or a Master’s degree with 2+ years of experience. 

• Experience applying machine learning techniques such as imitation learning, reinforcement learning, or sequence modeling to robotics, autonomous systems, or complex control environments. 

• Strong programming skills in Python and PyTorch, with experience writing production-quality ML code. 

• Experience training and evaluating machine learning models using large datasets and scalable compute environments. 

• Understanding of ML architectures used in autonomy systems, such as transformers, graph neural networks, or sequence models. 

• Experience debugging model behavior, analyzing performance metrics, and iterating on training pipelines. 

• Ability to collaborate with cross-functional teams to integrate ML models into larger software systems. 

 
 
Bonus Points! 

• Experience working in autonomous driving, robotics, or simulation-based training environments. 

• Experience with reinforcement learning frameworks or distributed training systems (e.g., Ray). 

• Experience working with simulation environments or large-scale behavior datasets. 

• Familiarity with vehicle dynamics, motion planning, or multi-agent decision-making systems. 

• Experience deploying ML models into production or real-world robotics systems. 

Hiring Range for Job Opening  

US Pay Range 

$153,200 - $183,300 USD 

Job ID: 102515

Meet the Team: 
As a Machine Learning Engineer II – End-to-End, you will help develop and deploy End-to-End models that power both perception and decision-making for autonomous trucks. Working closely with teams across perception, prediction, planning, and safety, you will contribute to End-to-End models that enable safe, efficient, and human-like driving in real-world freight operations. 
 
This role focuses on building, validating, and improving machine learning models and infrastructure that support End-to-End systems within the autonomy stack. 
 
What You’ll Do 

• Develop and train machine learning models for End-to-End percetion and planning, including approaches such as imitation learning and reinforcement learning. 

• Implement production-quality ML code to support model training, evaluation, and inference within the autonomy stack. 

• Analyze model performance, identify failure modes, and propose improvements to increase robustness and generalization across scenarios. 

• Contribute to model training pipelines and data workflows, curating datasets from simulation, fleet logs, and on-vehicle data. 

• Collaborate with simulation, validation, and autonomy engineering teams to test and evaluate End-to-End models across diverse driving environments. 

• Help integrate End-to-End models into simulation and testing workflows, enabling faster iteration and more comprehensive validation. 

• Support the development of tooling and infrastructure that improve experimentation speed, reproducibility, and model iteration. 

• Contribute to technical discussions around model architecture and training strategies within the team. 

 
 
 
 
What You’ll Need to Succeed 

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of industry experience, or a Master’s degree with 2+ years of experience. 

• Experience applying machine learning techniques such as computer vision, imitation learning, or reinforcement learning, to robotics, autonomous systems, or complex control environments. 

• Strong programming skills in Python and PyTorch, with experience writing production-quality ML code. 

• Experience training and evaluating machine learning models using large datasets and scalable compute environments. 

• Understanding of ML architectures used in End-to-End systems, such as BEV models, Transformers, VLA, or diffusion models. 

• Experience debugging model behavior, analyzing performance metrics, and iterating on training pipelines. 

• Ability to collaborate with cross-functional teams to integrate ML models into larger software systems. 

 
 
Bonus Points! 

• Experience working in autonomous driving, robotics, or simulation-based training environments. 

• Experience with reinforcement learning frameworks or distributed training systems (e.g., Ray). 

• Experience with VLA or Neural Rendering. 

• Familiarity with vehicle dynamics, motion planning, or multi-agent decision-making systems. 

• Experience deploying ML models into production or real-world robotics systems. 

Hiring Range for Job Opening  

US Pay Range 

$153,200 - $183,300 USD 

Job ID: 102514

About the Company 

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. 
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. 
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. 

Meet the Team

The mission of the Application Engine Team is to provide a robust, efficient, and flexible platform for integrating and managing various deep learning models and processes in the context of L4 autonomous trucking. It aims to streamline development workflows, enhance team efficiency, and ensure consistent performance and safety standards. The Application Engine focuses on facilitating the creation of scalable, reproducible, and safety-compliant components, enabling feature teams to efficiently develop and deploy advanced autonomous driving features.

What You’ll Do 

• Development of a processing pipeline SDK capable of spanning multiple distributed System on a Chips using Ethernet, PCIe, and similar to move data through different processing stages.
• Optimization of concurrent usage of resources (Memory, GPU) for parallel execution of trained models on a single System on a Chip
• Development of a runtime environment, which uses the App Engine SDK to deploy machine learning based virtual driver applications.
• SDK Feature development to support the creation of Virtual Driver Software
• Support Virtual Driver Division with their usage of the Application Engine
• Creation of high-quality code including test case development

What You’ll Need to Succeed 

• Experience with Embedded Software Development, especially with a focus on GPUs
• Experience with TensorRT and CUDA
• Experience in the development of real-time distributed systems
• Profound knowledge of C++ and state of the art design principles
• Familiarity with machine learning technologies (e.g. PyTorch)
• Experience with Linux
• Degree: Masters in Computer Science or Electrical Engineering

Bonus Points

• Experience developing SDK’s for complex embedded systems, especially those featuring GPUs or multiple SOCs.
• Experience in autonomous robotic or vehicle systems.
• Knowledge of computer architecture principles such as pipelining, memory hierarchy, locality, etc.

Perks of Being a Full-time Torc’r 
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:    
 

• A competitive compensation package that includes a bonus component and stock options 

• 100% paid medical, dental, and vision premiums for full-time employees 

• 401K plan with a 6% employer match 

• Flexibility in schedule and generous paid vacation (available immediately after start date) 

• AD+D and Life Insurance 

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. 
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. 

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Job ID: 102580

Les Films Sony Imageworks Québec Inc. sont situés sur le territoire traditionnel non cédé des Premières Nations Kanien’keha:ka (Mohawk). Nous nous engageons à respecter les terres ancestrales et à travailler avec les communautés en vue de la réconciliation.

Les Films Sony Imageworks Québec Inc.
700, rue Saint-Hubert, bureau 400, Montréal (QC) H2Y 0C1

Excellentes compétences de communication en français et en anglais pour exécuter certaines tâches liées au poste, notamment pour collaborer avec des équipes, fournisseurs ou partenaires situés à l’extérieur du Québec.

Les Films Sony Imageworks Québec Inc. est un studio d'effets visuels et d'animation récompensé par un Oscar® et réputé pour ses effets visuels photoréalistes, ses animations dynamiques de créatures et de personnages, ainsi que ses longs métrages entièrement réalisés en images de synthèse

Résumé du poste: 

Nous recherchons un(e) ingénieur(e) hautement motivé(e) pour diriger le développement et le soutien continu de notre pipeline de rigging. Le/La candidat(e) idéal(e) est un(e) codeur(seuse) chevronné(e), un(e) investigateur(trice) compétent(e) et un(e) communicateur(trice) efficace, désireux(seuse) de collaborer à des projets de différentes envergures en mettant l'accent sur la satisfaction des besoins de production urgents.

Les candidat(e)s doivent posséder de solides compétences techniques et aimer collaborer avec des ingénieur(seuse)s, des TD et des artistes. Ce poste nécessite d'être à l'aise pour travailler avec un minimum de supervision ou aux côtés d'un(e) ingénieur(e) en chef(fe) dans un environnement où les exigences de production peuvent rapidement faire évoluer les priorités.

Ce que vous ferez: 

• Développer et soutenir le pipeline de rigging, les systèmes centraux, les outils et les plugins.
• Améliorer l'efficacité des équipes de rigging, d'animation et de développement en créant et en mettant en œuvre de nouveaux systèmes de pipeline, outils et workflows optimisés.
• Trier, reproduire et résoudre de manière systématique les problèmes, bugs et demandes de nouvelles fonctionnalités en collaboration avec le département Rigging, l'équipe Rigging du projet et les ingénieur(euse)s seniors.
• Analyser les problèmes de production courants et chroniques, évaluer les solutions avec les utilisateurs(trices) et proposer des recommandations pour des améliorations techniques élégantes.
• Tester et coordonner les nouvelles mises à jour avec les testeur(euse)s avant leur déploiement dans les projets en production.
• Contribuer aux processus de test, de révision du code et d'analyse de la qualité (QA).
• Créer et maintenir une documentation utilisateur et une documentation d'équipe complètes.

Compétences recherchées: 

• 3 à 5 ans d'expérience en tant que Rigging TD, ingénieur(euse) pipeline ou développeur(euse) logiciel.
• Expérience avérée dans le soutien et le développement d'outils de rigging et/ou de pipeline.
• Expertise en Python, y compris une expérience pratique des boîtes à outils d'interface utilisateur telles que PyQt/PySide.
• Maîtrise du langage C++.
• Solide expérience de l'API Maya et du développement de plugins Maya.
• Expérience professionnelle avec les systèmes d'exploitation Linux.
• Solides compétences en matière de résolution de problèmes et capacité à décomposer systématiquement les problèmes complexes afin d'en isoler la cause profonde.
• Expérience des workflows de développement pilotés par les tests (TDD).
• Capacité à gérer et à mener à bien plusieurs priorités concurrentes avec peu de supervision.
• Excellente aptitude à travailler avec d'autres personnes dans un environnement d'équipe.
• Excellentes compétences en communication orale et écrite.
• Expérience des méthodologies Agile/Scrum.
• Diplôme en informatique ou qualification technique équivalente.

Les avantages sociaux sont conformes à la politique de l’entreprise et comprennent les soins de santé, le remboursement des frais de scolarité, les REER, les congés maladie et les vacances, ainsi que les augmentations salariales praticables. Le salaire de base réel offert dépendra de divers facteurs, y compris, sans s’y limiter, aux qualifications du candidat ou de la candidate pour le poste, aux années d’expérience pertinente, au niveau de scolarité atteint, aux certifications ou autres permis professionnels détenus et, le cas échéant, à l’emplacement du poste.

Nous valorisons les perspectives uniques et souhaitons que des talents diversifiés et distincts travaillent avec nous.  Nous encourageons les candidat(e)s de toutes identités à postuler. 

*Sony Pictures Entertainment souscrit au principe de l’égalité d’accès à l’emploi. Nous évaluons les candidat(e)s qualifié(e)s sans égard à la race, à la couleur, à la religion, au sexe, à l’origine nationale, au handicap, à l’âge, à l’orientation sexuelle, à l’identité de genre ou à d’autres caractéristiques protégées.

Les Films Sony Imageworks Québec Inc. is located on unceded and traditional territories of the Kanien'keha:ka (Mohawk) people.  

Les Films Sony Imageworks Québec Inc.

700 Rue Saint-Hubert, Suite 400, Montreal QC HY2 0C1

Project based, Full Time

Excellent communication skills in French and English are required to perform certain job-related tasks, particularly when collaborating with teams, vendors, or partners located outside Québec.

Sony Pictures Imageworks is an Academy Award®-winning visual effects and animation studio known for photoreal live-action visual effects, dynamic creature and character animation, and full-CG features.

Job Summary:

We are seeking a highly motivated Engineer to drive the development and ongoing support of our Rigging pipeline. The ideal candidate is a strong coder, skilled investigator, and effective communicator, eager to collaborate on projects of varying size with a critical emphasis on meeting time-sensitive production needs. 

Candidates must possess robust technical skills and enjoy collaboration with engineers, TDs, and artists. This role requires comfort working with minimal supervision or alongside a Lead Engineer in an environment where production demands can rapidly shift priorities.

What You'll Do:

• Develop and support the Rigging pipeline, core systems, tools, and plugins.
• Improve efficiency across the Rigging, Animation, and Development teams by creating and implementing new pipeline systems, tools, and optimized workflows.
• Systematically triage, reproduce, and resolve incoming issues, bugs, and new feature requests in collaboration with Rigging dept., Show Rigging team, and senior engineers.
• Analyze common and chronic production issues, evaluate solutions with users, and propose recommendations for elegant technical improvements.
• Test and coordinate new updates with testers before they are deployed onto production shows.
• Contribute to Testing, Code Review, and Quality Analysis (QA) processes.
• Create and maintain comprehensive user documentation and team documentation.

What You Bring:

• 3-5 years of experience as a Rigging TD, pipeline engineer, or software developer.
• Demonstrated experience supporting and developing rigging and/or pipeline tools.
• Expertise in Python, including practical experience with UI toolkits like PyQt/PySide.
• Proficiency in C++.
• Solid experience with the Maya API and developing Maya plugins.
• Working experience with Linux operating systems.
• Strong problem-solving skills and the ability to systematically break down complex issues to isolate the root cause.
• Experience with test-driven development (TDD) workflows.
• Capability to manage and deliver on multiple competing priorities with little supervision.
• Excellence in working with others in a team environment.
• Excellent verbal and written communication skills.
• Experience with Agile/Scrum methodologies.
• A Degree in Computer Science or equivalent technical qualification.

Benefits are per company policy: which include healthcare, tuition reimbursement, RRSP's, Sick and Vacation leave, standard increases as applicable. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location of the position.

We value unique perspectives, and want diverse, unique talent to work with us.  We encourage candidates from all identities to apply.

*Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, colour, religion, sex, national origin, disability, age, sexual orientation, gender identity, or other protected characteristics.

We're looking for a Senior SDET who thinks deeply about quality in systems that are inherently non-deterministic. Agentic AI doesn't fail the same way traditional software does — and testing it requires a new toolkit: eval frameworks, prompt regression, tool-call reliability, adversarial scenarios, and more.

You'll own the entire quality infrastructure across our product portfolio — from test data and CI pipelines to the standards and culture of how we ship. You'll work directly with product, devops, and AI engineering, with no layers between your decisions and their impact.

What You'll Own

• Test infrastructure, test data, test processes across the entire product portfolio while working with Devops and Infrastructure engineers
• Test Framework - build and enhance automated testing frameworks and tools that facilitate automated testing across different layers of application.
• The reliability bar for all Web applications, Mobile applications and AI agent outputs — from hallucination detection to latency regressions and tool-call correctness
• Test infrastructure, test data, and test processes across the entire product portfolio, alongside DevOps and Infrastructure engineers
• Automated testing frameworks that span all layers of the application — unit, integration, contract, and end-to-end
• Evaluation frameworks designed for LLM-based systems: non-deterministic output scoring, prompt regression, and adversarial test suites
• HIPAA-aware test data management — de-identification pipelines, synthetic data generation, and audit trail validation
• Integration of automated tests into CI/CD pipelines for continuous delivery confidence
• Build stability monitoring and release gate enforcement before any deployment
• Documentation of test plans, test results, and evaluation standards to support knowledge sharing
• The "safety net" for product quality — you define what done looks like

What We're Looking For

• 8+ years of hands-on SDET experience, with recent work building or testing agentic AI systems (single- or multi-agent) in production
• Experience in healthcare or life sciences — you understand what's at stake when a system fails in this domain
• A true tester's mindset: you seek out edge cases, adversarial inputs, and failure modes others overlook
• Proficiency across the full test pyramid — unit, integration, system, performance, and exploratory — plus familiarity with LLM-specific evaluation approaches
• Strong debugging skills across multi-tier web and mobile architectures; comfortable jumping into production incidents
• Proficiency with testing frameworks such as Jest, React Testing Library, Supertest, and pytest.
• Hands-on experience with testing tools like Cypress, Playwright, Supertest, and pytest (including requests or Selenium-based testing)
• Experience testing RESTful APIs using tools like Postman or Supertest
• Solid command of JavaScript and Python

Bonus Points

• Multi-cloud experience (AWS, Azure, GCP)
• Experience with red-teaming or adversarial testing of AI systems
• Native mobile testing experience (iOS, Android)
• Prior work with 21 CFR Part 11, GxP, or similar regulated-software validation frameworks

Why Medeloop

• Ownership from day one: small team, high-trust, no layers between your work and its impact
• Technically ambitious: you'll build AI-powered workflows, not just support them
• Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter

Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build

Job Title: Senior Java Software Engineer – Financial Services

Location: Montreal, Quebec (Onsite)

About the Role:

We’re seeking a highly skilled Senior Java Software Engineer to join our dynamic team working on complex financial service systems that serve millions of customers worldwide. You will play a critical role across enterprise architecture, risk technology, and investment banking (IB)-facing applications. This role demands strong expertise in core Java technologies, scalable distributed systems, and modern cloud platforms.

Key Responsibilities:

• Design, develop, and maintain high-performance, scalable financial applications using Core Java, Spring Boot, and Hibernate.
• Build and integrate RESTful APIs and microservices within distributed systems architecture.
• Collaborate with cross-functional teams practicing Agile methodologies to deliver high-quality software continuously using CI/CD pipelines and DevOps tools.
• Implement messaging solutions using Kafka or other enterprise messaging frameworks to handle real-time data streams.
• Optimize application performance, ensure system scalability and high availability in a demanding production environment.
• Drive best practices around automated testing (TDD/BDD), including JUnit and Cucumber test frameworks.
• Contribute to architectural decisions focusing on robustness and risk mitigation in enterprise financial systems.
• Leverage cloud services (AWS, Azure, or GCP) to deploy and manage resilient cloud-native applications.

Required Skills & Experience:

• Strong expertise in Core Java (Java 8+) with solid understanding of JVM internals.
• Extensive experience with Spring Boot, Hibernate ORM.
• Proven background designing and developing REST APIs and microservices architectures.
• Hands-on experience with Kafka or similar event streaming platforms.
• Familiarity with cloud platforms such as AWS, Azure, or GCP, including deployment and monitoring.
• Adept in Agile software delivery and CI/CD automation.
• Strong knowledge of TDD/BDD with JUnit and Cucumber frameworks.
• Experience with performance tuning and ensuring high availability in large scale systems.
• Background in financial services technology, risk systems, or investment banking applications is highly advantageous.
• Full-working proficiency in English (written and verbal)

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Experience with containerization (Docker, Kubernetes) and cloud-native architectures.

About the Company   

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.   
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.   
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.    

Meet The Team:    

Torc is marching towards its AV 3.0 strategy. Simulation and Data Generation are key elements towards autonomous trucking. The team builds the sensor simulation based on Neural Rendering and Generative models for Torc’s data-driven simulator. High-quality data from novel scenarios close the domain data gap, solving one of the biggest challenges for safe autonomous driving.  The team works on state-of-the-art approaches for Neural Rendering and data generation for camera, LiDAR, and Radar sensor data, that contributes to the Torc’s data workflow for training and validation across the complete AV stack.   

What You’ll Do:    

• Implement the latest research advances in Neural Rendering and generative models 
• Translate cutting edge solution in the domain of autonomous driving for high-quality Camera, LiDAR and Radar sensor simulations 
• Support implementing a neural rendering framework that allows to scale perception simulation and AV 3.0 training 
• Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks  
• Own development projects in the team – From research, design, to implementation, testing and deployment 
• Design, implement, test and deploy shippable production quality software starting from early prototypes using disciplined software development processes.
• Work in the cloud machine learning ecosystem alongside other machine learning services existing in the company.
• Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. 
• Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution, coaching and mentoring as needed.   

What You’ll Need to Succeed:    

• Proficiency in Python and deep learning frameworks such as PyTorch. 
• PhD or equivalent work experience of 6+ years in relevant fields (CS, Robotics, Electrical Engineering) with industry experience in shipping production software. 
• Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching). 
• Background in Computer Graphics, 3D Reconstruction, or 3D Computer Vision. 
• Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.   
• Experience with VDI and cloud based machine learning development environments.
• Expected to drive alignment across team interfaces to the rest of the organization.  
• Designs, maintains and owns team technical solutions and drives consensus.   
• Mentors and guides engineers within the group.    

Bonus Points!  

• Experience with autonomous driving or robotics perception in production environments. 
• Proficiency with CUDA programming for efficient rendering of large-scale scenes 
• Publications in top-tier CV/AI/Graphics conferences (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, SIGGRAPH) or journals 
• Experience with MLOps and infrastructure tools (Ray) 
• Familiarity with 3D labeling, calibration, and sensor simulation pipelines.  
• Handling of Autonomous Driving Sensors – Multiple timestamp, multiple sensor data from cameras, lidars, and radars  

Perks of Being a Full-time Torc’r   
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:     

• A competitive compensation package that includes a bonus component and stock options 
• 100% paid medical, dental, and vision premiums for full-time employees  
• 401K plan with a 6% employer match  
• Flexibility in schedule and generous paid vacation (available immediately after start date) 
• AD+D and Life Insurance   

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.  
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.  

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

US Base Pay Range:

$177,300 - $234,000

Job ID: R-102432

About the Company   

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.   
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.   
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.    

Meet The Team:    

Torc is marching towards its AV 3.0 strategy. Simulation and Data Generation are key elements towards autonomous trucking. The team builds the sensor simulation based on Neural Rendering and Generative models for Torc’s data-driven simulator. High-quality data from novel scenarios close the domain data gap, solving one of the biggest challenges for safe autonomous driving.  The team works on state-of-the-art approaches for Neural Rendering and data generation for camera, LiDAR, and Radar sensor data, that contributes to the Torc’s data workflow for training and validation across the complete AV stack.   

What You’ll Do:    

• Implement the latest research advances in Neural Rendering and generative models 
• Translate cutting edge solution in the domain of autonomous driving for high-quality Camera, LiDAR and Radar sensor simulations 
• Support implementing a neural rendering framework that allows to scale perception simulation and AV 3.0 training 
• Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks  
• Own development projects in the team – From research, design, to implementation, testing and deployment 
• Design, implement, test and deploy shippable production quality software starting from early prototypes using disciplined software development processes.
• Work in the cloud machine learning ecosystem alongside other machine learning services existing in the company.
• Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. 
• Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution, coaching and mentoring as needed.   

What You’ll Need to Succeed:    

• Proficiency in Python and deep learning frameworks such as PyTorch. 
• PhD or equivalent work experience of 6+ years in relevant fields (CS, Robotics, Electrical Engineering) with industry experience in shipping production software. 
• Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching). 
• Background in Computer Graphics, 3D Reconstruction, or 3D Computer Vision. 
• Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.   
• Experience with VDI and cloud based machine learning development environments.
• Expected to drive alignment across team interfaces to the rest of the organization.  
• Designs, maintains and owns team technical solutions and drives consensus.   
• Mentors and guides engineers within the group.    

Bonus Points!  

• Experience with autonomous driving or robotics perception in production environments. 
• Proficiency with CUDA programming for efficient rendering of large-scale scenes 
• Publications in top-tier CV/AI/Graphics conferences (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, SIGGRAPH) or journals 
• Experience with MLOps and infrastructure tools (Ray) 
• Familiarity with 3D labeling, calibration, and sensor simulation pipelines.  
• Handling of Autonomous Driving Sensors – Multiple timestamp, multiple sensor data from cameras, lidars, and radars  

Perks of Being a Full-time Torc’r   
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:     

• A competitive compensation package that includes a bonus component and stock options 
• 100% paid medical, dental, and vision premiums for full-time employees  
• 401K plan with a 6% employer match  
• Flexibility in schedule and generous paid vacation (available immediately after start date) 
• AD+D and Life Insurance   

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.  
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.  

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

US Base Pay Range:

$160,800 - $212,300

Job ID: R-102432

About the Company 

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. 
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. 
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

Meet The Team:  

Pseudo-Labeling team's goal is to create high quality annotations on sensor data (images, point clouds). The annotations include 2D, 3D bounding boxes, classes, trajectories, lane lines, segmentations, depths etc. The annotations are then used by different downstream users, for example, perception teams use it to train various models and simulation teams use it for generating new data. 

What You’ll Do:  

• Design, implement, test and deploy offline object detection, tracking and fusion modules to automatically create annotations on Cloud Services from logged sensor data (Cameras, Lidars, Radars)
• Demonstrated project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution. 
• Stay up to date with the latest developments in AI and ML for autonomous driving.
• Independently develop offline perception models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control, and maintaining 
• Documentation of created applications. 
• Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows. 
• Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. 
• Measure and track auto labeling quality to meet internal customer requirements.
• Guide and produce information products, supporting visualization and data accessibility in a customer-centric manner. 
• Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety. 
• Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes.  
• Provides technical guidance or business process expertise, technical leadership, coaching and mentoring to team members.  

What You’ll Need to Succeed:  

• Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment. 
• Scope of Influence: Expected to drive alignment across team interfaces to the rest of the organization. Designs, maintains and owns team technical solutions and drives consensus.  Mentors and guides engineers within the group.  
• Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 6+ years of experience OR;  
• Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 3+ years of experience OR; 
• Doctorate Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 1+ years of experience. 
• Required Qualifications (some combination of the following skills):    
  • Active Learning & Pseudo-labeling - Computer Vision, Deep Learning, Model training.
  • Two of the following: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, SLAM, BEV.
  • Scaled ML Operations (MLOps) and Tooling – ML Frameworks, experiment tracking, model registry, MLFLow, Weights and Biases, ML Metrics and Evaluation / Quality. 
  • Distributed machine learning frameworks - PyTorch, Lightning, Ray. 
  • Model Data Curation - Parquet data processing (PyArrow, Daft, Pandas, etc). 
  • Development Tools & Eco-System (at scale) - Proficiency in Python software development. Also, VDI and cloud-based development environments, CI Systems (GitHub Actions), and Docker.  

Bonus Points! 

• Data operations and management at scale - Schema design, AWS storage and processing infra, vector databases / LanceDB, file formats (MCAP, parquet, etc). 
• Data Visualization - Integration with tooling such as OpenGL, 3.js, foxglove, 51, tableau. 
• Cloud Development – Python (proficient level), Terraform, AWS Managed Services (eg S3, ECS, Lambda, Dynamo, Step Functions, Athena).   
• Cloud-based orchestration and resource management - AWS Hyperpods, Anyscale, Etc. Model Inference Orchestration.  

Knowledge of English is required since the selected candidate will need to collaborate daily with English-speaking colleagues in the United States and work with technical documentation written exclusively in English. 

Perks of Being a Full-time Torc’r (Canada) 

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: 

• A competitive compensation package that includes a bonus component and stock options
• Medical, dental, and vision for full-time employees
• RRSP plan with a 4% employer match
• Public Transit Subsidy (Montreal area only)
• Flexibility in schedule and generous paid vacation
• Company-wide holiday office closures
• Life Insurance 

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. 
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. 

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

Hiring Range for Job Opening 

Canada Pay Range 

$199,200 to $298,800 CAD 

Job ID: 102399

About TTC

The Testing Consultancy is a global specialist software testing company with a focus on helping organizations transform the way they deliver quality software. We provide expert testing and quality engineering services that enable our clients to move faster, reduce risk, and deliver high quality software at scale.

Perks of Working for TTC

• Full Time Employment
• Remote Work Model within Canada
• Competitive Base Salary
• Work Life Balance
• Collaborative and Supportive Culture
• Growth and Development Opportunities

Location
Remote Canada
Preferred locations include Toronto Ontario or Montreal Quebec

Summary

The Test Automation Architect is a senior, hands on leadership role responsible for leading and evolving the automation practice across multiple delivery teams. This role requires a strong balance of strategic thinking and technical execution. The Test Automation Architect will define automation standards, set technical direction, mentor engineers, and actively contribute to framework design and complex automation challenges when needed.

This role plays a critical part in shaping how, when, and why automation is applied across the organization, ensuring scalable, maintainable, and effective automation solutions that support fast moving delivery teams.

Responsibilities

• Lead and support multiple test automation teams while setting technical direction and quality standards
• Design, build, and evolve scalable test automation frameworks primarily using Python and or Java
• Define automation strategy and provide guidance on when automation adds value versus when manual testing is more appropriate
• Act as a technical mentor and coach, supporting team growth and adoption of best practices
• Establish and enforce automation best practices, coding standards, and review processes
• Partner closely with QA, engineering, and product stakeholders to align testing approaches with delivery goals
• Remain hands on when required by contributing to framework development, troubleshooting, and critical initiatives
• Proactively identify risks, gaps, and opportunities for improvement across automation practices
• Communicate effectively with both technical and non technical stakeholders
• Continuously evaluate and adopt new tools, technologies, and approaches to strengthen the automation practice

Technical Skills and Experience

• Strong experience as a Test Automation Architect, Lead, or Senior Automation Engineer
• Deep expertise in Python and or Java for test automation
• Proven experience building and maintaining robust automation frameworks
• Experience leading or mentoring multiple automation teams
• Strong understanding of test strategy, test design, and quality engineering principles
• Ability to balance architectural leadership with hands on execution
• Excellent communication and collaboration skills
• Experience working effectively in a remote and distributed team environment

Nice to Have

• Experience testing IVR systems, Sierra, or contact center platforms
• Exposure to testing Generative AI solutions or LLM based systems
• Experience working in complex enterprise environments or large scale systems

Qualifications

• Bachelor’s Degree in Computer Science, Engineering, Information Systems, or a related field
• Significant experience in test automation and quality engineering in senior or lead roles
• Demonstrated ability to drive automation strategy while supporting delivery teams

If your experience and qualifications align with this role, we encourage you to apply. Experience comes in many forms and skills can be transferable. At TTC, we value diversity, continuous learning, and different perspectives, and we welcome candidates from all backgrounds.

About TTC

The Testing Consultancy (TTC) is a global specialist software testing company with a focus on helping organizations transform the way they deliver quality software. We have broad capabilities across a wide range of testing areas that enable our clients to increase the speed and quality of software development while reducing risk and cost. 

Perks of working for TTC

• Hybrid Work Environment
• Work Life Balance
• Relaxed Work Environment
• Growth and Development Opportunities

Position Summary

The primary purpose of the Senior Software QA Engineer is to lead and deliver testing services using industry standards and best practices to meet customer requirements. This role will work collaboratively to build and establish the overall QA process. Responsibilities for this position also include mentoring QA junior personnel assigned to the teams on methods, strategies, frameworks, and other technical aspects. The Senior Software QA Engineer may also assist in general application support of production applications and systems. A key part of this role is managing relationships with business owners, software vendors, auditors, and other internal IT teams.

Responsibilities

• Assess and develop good understanding of customer’s manual and automated testing needs
• Maintain a hands-on involvement in test execution, test automation and risk coverage analysis
• Review functional and non-functional requirements and specifications
• Produce test Artifacts such as test Strategy, test Plan, test Cases and test Metrics reports
• Build and support automated testing frameworks based on various technologies
• Deliver good quality work internally and at a customer site and meeting project deadlines
• Maintain excellent relationships with key customer stakeholders and managing their expectations
• Actively participate in project team meetings to offer insight on application issues discovered and present solutions to resolve, meet requirements and ensure desired quality
• Ability to travel moderately
• Additional duties as may be assigned by management

Role Requirements

• Must speak French and English
• Capable of executing and completing assigned projects within the time, scope, and budget negotiated with the client
• Skilled at evaluating existing processes and procedures and making recommendations for improvement; designing prototypes and proof of concepts that best fit client needs
• Must have hands-on experience with test automation tools and frameworks using TOSCA
• Excellent communication and customer-facing skills
• Strong decision-making and problem-solving skills from both a business and systems perspective
• Highly self-motivated and directed leader
• Capable of effectively prioritizing and executing tasks in a high-pressure environment
• Able to facilitate open discussion and construct debate
• Experience working in Agile and traditional development environments

Technical Skills

• Experience in automated testing with one or more test automation tools and frameworks: Selenium, UFT, TOSCA, Rational Robot, etc.
• Hands-on technical expertise in programming, development tools and methodologies and system protocols
• Hands-on experience with SAP (preferred) 
• Understanding of database concepts and good knowledge of SQL
• Familiarity with API testing (SOAP and/or REST)
• Experience in business requirements analysis and test case design using Test Case management tools: ALM, TFS, JIRA plug-ins, etc.
• Ability to document defects and track them to resolution using defect management tools: JIRA, Quality Center, TFS, etc.

Qualifications

• Bachelor's degree in Computer science, Engineering, or related field preferred
• Minimum of 5 years’ experience in Software Development and/or Quality Assurance 

If your experience or qualifications is similar to our ideal of a successful candidate, please consider applying. Experience comes in many ways; skills may be transferred, but passion for your career can't be substituted. At TTC, we understand the importance of diversity and how much value it brings to the table. Diversity brings about creativity and new perspectives, which is why we beckon everyone to apply. 

About TTC

The Testing Consultancy (TTC) is a global specialist software testing company with a focus on helping organizations transform the way they deliver quality software. We have broad capabilities across a wide range of testing areas that enable our clients to increase the speed and quality of software development while reducing risk and cost. 

Perks of working for TTC

• Competitive Base Salary
• Medical, Dental, Vision Benefits
• 401K w/ company match
• Paid Time Off
• Paid Holidays
• Work Life Balance
• Relaxed Work Environment
• Growth and Development Opportunities

Position Summary

The primary purpose of the Senior Software QA Engineer is to lead and deliver testing services using industry standards and best practices to meet customer requirements. This role will work collaboratively to build and establish the overall QA process. Responsibilities for this position also include mentoring QA junior personnel assigned to the teams on methods, strategies, frameworks, and other technical aspects. The Senior Software QA Engineer may also assist in general application support of production applications and systems. A key part of this role is managing relationships with business owners, software vendors, auditors, and other internal IT teams.

Responsibilities

• Assess and develop good understanding of customer’s manual and automated testing needs
• Maintain a hands-on involvement in test execution, test automation and risk coverage analysis
• Review functional and non-functional requirements and specifications
• Produce test Artifacts such as test Strategy, test Plan, test Cases and test Metrics reports
• Build and support automated testing frameworks based on various technologies
• Deliver good quality work internally and at a customer site and meeting project deadlines
• Maintain excellent relationships with key customer stakeholders and managing their expectations
• Actively participate in project team meetings to offer insight on application issues discovered and present solutions to resolve, meet requirements and ensure desired quality
• Ability to travel moderately
• Additional duties as may be assigned by management

Role Requirements

• Must speak French and English
• Capable of executing and completing assigned projects within the time, scope, and budget negotiated with the client
• Skilled at evaluating existing processes and procedures and making recommendations for improvement; designing prototypes and proof of concepts that best fit client needs
• Must have hands-on experience with test automation tools and frameworks using TOSCA 
• Must have SAP experience 
• Excellent communication and customer-facing skills
• Strong decision-making and problem-solving skills from both a business and systems perspective
• Highly self-motivated and directed leader
• Capable of effectively prioritizing and executing tasks in a high-pressure environment
• Able to facilitate open discussion and construct debate
• Experience working in Agile and traditional development environments

Technical Skills

• Experience in automated testing with one or more test automation tools and frameworks: Selenium, UFT, TOSCA, Rational Robot, etc.
• Hands-on technical expertise in programming, development tools and methodologies and system protocols
• Hands-on experience with SAP
• Understanding of database concepts and good knowledge of SQL
• Familiarity with API testing (SOAP and/or REST)
• Experience in business requirements analysis and test case design using Test Case management tools: ALM, TFS, JIRA plug-ins, etc.
• Ability to document defects and track them to resolution using defect management tools: JIRA, Quality Center, TFS, etc.

Qualifications

• Bachelor's degree in Computer science, Engineering, or related field preferred
• Minimum of 5 years’ experience in Software Development and/or Quality Assurance 

If your experience or qualifications is similar to our ideal of a successful candidate, please consider applying. Experience comes in many ways; skills may be transferred, but passion for your career can't be substituted. At TTC, we understand the importance of diversity and how much value it brings to the table. Diversity brings about creativity and new perspectives, which is why we beckon everyone to apply.