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Added 4 days ago
B
Software Engineer - Voice AI (Inference Runtime)
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
…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…
Added 4 days ago
B
Software Engineer - Model Performance Systems
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
…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…
Added 4 days ago
MN
Client Data Analyst II
Mosaic North America
Toronto, ON
- Full-time
Lead the development and evolution of measurement frameworks, KPIs, and analytical methodologies to evaluate program performance and business outcomes.
Added 4 days ago
B
Software Engineer - GPU Networking & Distributed Systems
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
…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…
Added 4 days ago
B
Software Engineer - Voice AI (Inference Runtime)
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
…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…
Added 4 days ago
MN
Client Data Analyst II
Mosaic North America
Mississauga, ON
- Full-time
Lead the development and evolution of measurement frameworks, KPIs, and analytical methodologies to evaluate program performance and business outcomes.
Added 4 days ago
B
Software Engineer - Model Performance Systems
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
…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…
Added 4 days ago
M
Sr. Network Security Specialist
McKesson
Mississauga, ON
- Full-time
…security designs. You will also evaluate emerging technologies, lead architecture reviews, strengthen network visibility, and help ensure critical connectivity services remain secure,…
Added 4 days ago
Sr. Network Designer
Rogers Communications
Brampton, ON · Toronto, ON
Lead RAN performance optimization across 4G, 5G NSA, 5G SA, and emerging 5G Advanced network capabilities.
Added 4 days ago
PE
Intermediate Forest Analyst
PRI Engineering
Vancouver, BC
- Full-time
…environmental assessment projects. You will report to the Practice Lead, Forestry & Inventory and grow into more senior technical roles as you build your…
Added 4 days ago
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Python Gen AI Developer
Virtusa
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging…
Added 4 days ago
V
Python Gen AI Developer
Virtusa
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging…
Added 4 days ago
S
Artificial Intelligence Engineer
Swoon
Toronto, ON
- Contract
Partner with business and technical stakeholders to understand challenges, lead discovery discussions, and clarify requirements.
Added 4 days ago
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AI DevOps Specialist (AI Enablement & Secure DevOps)
Experis
Canada
- Contract
…infrastructure, and cloud platform services. They will take a hands-on lead in configuring foundational AI cloud services (primarily Google Cloud Platform - Vertex AI), managing user-facing…
Added 4 days ago
A
Salesforce Devops Lead
ATB
Calgary, AB · Edmonton, AB
- Full-time
As ATB’s next Salesforce DevOps Developer Lead, you will have the unique opportunity to provide technical leadership to scale and centralize our Salesforce capabilities into a unified,…
Added 4 days ago
U
Scientifique Principale des Données-Ingénieur/Staff Data Scientist- Eng
UKG
Montreal, QC
- Full-time
Maîtrise du génie logiciel, notamment de la programmation en Python et autres langages, ainsi que des outils et bibliothèques tels que Pandas, NumPy, TensorFlow ou PyTorch. Expertise dans…
Added 4 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
…passion of our people around the world and their desire to lead change. At the same time, we are not afraid to expect a lot and strive for leadership in all of our key markets. We are a…
Added 4 days ago
W
Software Engineer - C++ / Python / Android / Java L1
Wipro
Ottawa, ON
- Full-time
…exposure to one or more of the following technologies: C++, Python, Java, and Android…
Added 4 days ago
UC
AI Developer
UniSysTech Consulting
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Other
We are seeking an experienced AI Developer (Mid to Senior Level) to lead the design, development, and deployment of enterprise-grade Artificial Intelligence and Machine Learning solutions.…
Added 4 days ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Under the direction of the designated IT Manager, the Application and Integration Technical Analyst is a technical lead responsible for system architecture, data strategy, and integration…
Added 4 days ago
Q
Verification Engineer (Engineer–Senior Level)
Qualcomm
Toronto, ON
- Full-time
Take opportunities to lead, plan, and coordinate tasks with team members
Added 4 days ago
B
Financial Analyst
Brunel
Montreal, QC
- $85,000 to $100,000 CAD / year
- Full-time
Brunel is partnered with a leading Canadian financial institution to hire a Analyst Developer focused on enterprise data management and Financial Markets data platforms.
Added 4 days ago
SS
Continuous Improvement Process Engineer
Samuel, Son & Co.
Markham, ON
- Full-time
- Support the VSM, lead hands, operators and transactional support groups in recovery and preventive actions for rework, setup, and changeovers.
Added 4 days ago
UC
QA Lead
UniSysTech Consulting
Toronto, ON
- $105,000 to $115,000 CAD / year
- Full-time
We are seeking a QA Lead to establish quality assurance strategies and guide testing efforts across web and API applications. In this role, you will lead QA team members, oversee manual and…
Added 4 days ago
SW
MaAnalytics, GWM -nager, CWM
Scotia Wealth Management
Toronto, ON
- Full-time
Lead, mentor, and develop a team of analysts, fostering a culture of collaboration, accountability, and continuous learning.

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

Apply About employer

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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