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Added 8 mins ago
EN
Principal Wireless SW Engineer
Extreme Networks
Toronto, ON
- Full-time
…(GTAC). This role provides hands-on technical leadership across Development, QA, Product Management, and Support, driving issues from initial triage and reproduction through root-cause…
Added 8 mins ago
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Optician / Retail Partner Ownership
Specsavers
Regina, SK
- Full-time
Commitment to product excellence - Access a full range of frames and lenses designed under stringent quality assurance processes so that you can support your customers quality products that…
Added 8 mins ago
HT
PD Software for Service
Husky Technologies
Bolton, ON
- Full-time
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Added 8 mins ago
HT
Applications Engineer
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Bolton, ON
- Full-time
Lead end-to-end innovation and engineering initiatives, from concept ideation and prototyping through proof-of-concept validation, product development, and commercialization.
Added 8 mins ago
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PD Service - Mechanical
Husky Technologies
Bolton, ON
- Full-time
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Mechanical Designer (Fluidpower)
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- Full-time
Lead engineering design as part of the product development process by focusing on systems level and concept design. Translating product definition into high quality, reliable and…
Added 8 mins ago
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Test Engineering Technologist - Process Packaging
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Bolton, ON
- Full-time
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Advanced Applications Blow Molding Specialist
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- Full-time
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Added 8 mins ago
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Test Engineering Technologist
Husky Technologies
Bolton, ON
- Full-time
To accelerate time-to-market with effective solutions that keep our customers in the lead, we leverage a powerful risk prioritized product development process.The Test Engineering…
Added 8 mins ago
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Engineering Team Leader (PET HR)
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Bolton, ON
- Full-time
Plan, organize and lead a design team for new product development with adherence to Product Development Process, Husky Standards and Stage Gate. Responsibilities include estimating effort…
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Software Validation Technologist
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- Full-time
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Added 8 mins ago
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Designer, Development (Mechanical)
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Bolton, ON
- Full-time
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Added 8 mins ago
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Director, Finance (CSM)
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Bolton, ON
- Full-time
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Added 8 mins ago
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Financial Manager - PLM (Product Line Mgmt)
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- Full-time
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Added 8 mins ago
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Product Development Engineer
Husky Technologies
Bolton, ON
- Full-time
Our Development Engineering team is looking to hire an experienced Product Development Engineer. The successful candidate will lead the technical development of packaging products working…
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Manufacturing Engineer (Contract)
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- Full-time
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Added 8 mins ago
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Product Specialist - Risk and Performance
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Toronto, ON
- Full-time
Use extensive knowledge of client issues/needs to identify opportunities for business and product development.
Added 8 mins ago
HT
Designer, Development (Electrical)
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Bolton, ON
- Full-time
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Added 8 mins ago
Engineer
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Toronto, ON
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Added 38 mins ago
AC
Hourly Supervisor- Subway TRU
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Kamloops, BC
- Full-time
…responsibility and requires an experienced Subway professional who can lead the team, maintain brand standards, and ensure operational priorities are consistently…
Added 38 mins ago
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Added 53 mins ago
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Founding Product Manager
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We're hiring one product person, posted at two levels: Founding Product Manager and Head of Product. Apply to the one that fits you best.
Added 53 mins ago
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Head of Product
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- Full-time
Lead product at a modern, fast-growing Y Combinator company, working directly with the founder
Added 53 mins ago
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Global Payroll and Benefits Administrator
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Toronto, ON
- Contract
Lead benefits information sessions for new hires in Canada and the US.
Added 53 mins ago
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Software Engineering SMTS
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- Full-time
…skills based architecture, that turn expert only, multi step product configuration, Org troubleshooting and management into natural language, agent assisted workflows. As part of this team,…

Baseten

Software Engineer - Voice AI (Inference Runtime)

Toronto, ON, Canada

$165,000 to $330,000 USD / year · Full-time

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Job details

Pay: $165,000 to $330,000 USD / year
Job type: Full-time
Apply by: Nov 28, 2026
Posting language: English
Posted: Oct 30, 2026

Original job description

About Baseten

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.

THE ROLE

Voice is becoming the internet’s next interface, but a production-grade Voice AI system is "hard to build". You’ll join a small founding team of Baseten Voice AI, focused on bringing state-of-the-art open source models into production for Voice AI customers across productivity, customer service, clinical conversation, creator tools, education, and more. You’ll make a meaningful impact on people’s daily lives and help reshape these industries.

This is a high-impact, high-ownership role. You will be the primary owner of Baseten Voice AI - our in-house inference stack to power Voice AI models - from product roadmap through engineering implementation. You’ll partner closely with Forward Deployed Engineers, Model Performance Engineers, and sister engineering teams to push the boundaries of Voice AI.

EXAMPLE INITIATIVES

Develop world-class model serving stack for state-of-the-art open-source voice models - reduce end-to-end and tail latency (p95/p99), increase throughput, and improve GPU efficiency via profiling, runtime tuning, and server-level optimizations.
Build large-scale, real-time infrastructure for multi-model voice agents - orchestrate STT, TTS, and agent components with streaming I/O to meet customer SLOs.
Design tight training and inference iteration loops for voice model customization - enable fast evaluation, safe rollout, and rapid experimentation for custom voice model development.
Past projects:
- Baseten leads Coval’s voice AI benchmark
- How Notion achieved 2-3x lower latency with AI Meeting Notes
- Cost-efficient, high-performance TTS with Qwen3-TTS
- Fine-tuning Qwen3-TTS for high-quality voice cloning
- The fastest Whisper - with streaming and diarization
- NVIDIA Nemotron 3 Diarization: real-time speaker labels at a cent per audio hour

Responsibilities

Own and lead Voice AI product areas end-to-end - from architecture and system design through implementation, rollout, and long-term production operations.
Design, build, and operate real-time, large-scale, high-performance model serving systems for STT, TTS, and voice agent workloads for mission-critical customer deployments
Drive cross-team collaboration with sister engineering teams to solve full-stack technical problems, align on priorities, and coordinate end-to-end delivery across the product surface area
Mentor teammates through code reviews, design docs, and technical leadership.

Requirements

Bachelor's degree or higher in Computer Science or related field
Proven track record owning production-grade real-time, large-scale systems where tail latency (p99) matters.
Proficient coding abilities in one or more popular programming or scripting languages; Python proficiency is a plus.
Good taste in product, particularly developer-oriented tools
Interest in ML/AI infrastructure and willingness to learn
Strong collaboration and communication skills
Comfortable using AI coding assistants (e.g., Claude Code, Codex, Cursor) as a daily productivity multiplier - as an AI-native company, we see this as a must-have skill.

NICE TO HAVE

Experience implementing pipeline-level model runtime optimizations such as dynamic batching, async scheduling, or decode-side throughput improvements.
Experience building developer platforms: SDKs, CLIs, APIs, and self-serve workflows for ML or infrastructure products.
Experience with containerization and orchestration technologies (Docker, Kubernetes), service meshes, or distributed scheduling.
Familiarity with speech/audio ML models (STT, TTS, speech-to-speech)
Familiarity with model-serving runtimes (vLLM, TensorRT, ONNX).
Familiarity with systems-level performance profiling across host-device boundaries (e.g. PyTorch Profiler), diagnosing GPU utilization issues
Exposure to customer-facing engineering: pre-sales prototyping, technical discovery, or working directly with customers to ship solutions.

Benefits

Competitive compensation, including meaningful equity
(U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
(U.S. only) Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Compensation Range: $165K - $330K

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More about this job

Responsibilities

Own Voice AI product areas end to end, including architecture, implementation, rollout, and ongoing production operations. Build and operate high-performance real-time serving infrastructure for speech-to-text, text-to-speech, and voice-agent workloads, while coordinating delivery across teams and mentoring colleagues.

Requirements

Requires a bachelor's degree or higher in computer science or a related field, experience owning production-grade real-time, large-scale systems where p99 latency matters, and proficiency in at least one popular programming or scripting language. Candidates should have strong collaboration and communication skills, product judgment for developer tools, interest in ML infrastructure, and comfort using AI coding assistants; Python is a plus.

Skills

Real-Time Systems
Large-Scale Systems
Low-Latency System Design
Model Serving
Inference Runtime Optimization
Python
Voice AI
Speech-to-Text
Text-to-Speech
Streaming Infrastructure
GPU Performance Optimization
Dynamic Batching
Asynchronous Scheduling
Docker
Kubernetes
Technical Leadership

Benefits

Equity
Medical Insurance
Dental Insurance
Vision Insurance
Flexible Paid Time Off
Company-Wide Winter Break
Paid Parental Leave
Fertility and Family-Building Stipend
401(k)

Visa sponsorship

Not detected in the job text

Keywords

Voice AI
Inference Runtime
Model Serving
Real-Time Infrastructure
Speech-to-Text
Text-to-Speech
Voice Agents
Streaming I/O
Tail Latency
P99 Latency
Throughput Optimization
GPU Efficiency
Dynamic Batching
Asynchronous Scheduling
Python
Docker
Kubernetes
Service Meshes
Distributed Scheduling
vLLM
TensorRT
ONNX
PyTorch Profiler
Model Performance Profiling
AI Coding Assistants
Developer Platforms
SDKs
CLIs
APIs
Machine Learning Infrastructure

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