SA
San Francisco, Canada· Full-time
From $180K/yr
● Strong current hiring demand for this role
TypeScriptPythonReactSQL
DU
Active4mo ago
Senior Software Engineer, Machine Learning Infrastructure - Generative AI
Role overview
Job description
About the Team DoorDash’s GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalization to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. About the Role You will join a small, high-leverage team buildin
…About this listing
- Listed from a Greenhouse careers board
- Posted 2 Jul 2026
Jobiba does not charge job seekers. Never pay to apply or share OTPs, card or bank details.
Role market pulse
How Senior Software Engineer demand looks in Canada
Live jobs
208
Posted 30d
102
30d movement
+67.2%
Remote share
43.3%
Salary listed
81.7%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
python →aws →gcp →kubernetes →git →rest →machine learning →ai →go →excel →sem →lean →logistics →recruitment →hr →training →
Qualification
We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution; Own and evolve our open-weights serving stack — real-time GPU endpoints, high-throughput batch inference, and fine-tuning (SFT/DPO/LoRA) — alongside the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution; We’re excited about you because… B.S., M.S., or PhD; Deep hands-on experience with LLM inference and/or fine-tuning of open-weight models in production — serving (latency, throughput, batching, autoscaling, GPU utilization) and/or fine-tuning (SFT/DPO/LoRA)
Department · 313 Infrastructure Engineering
Hiring company
DoorDash USA
View the company profile, current openings and hiring details.
Related opportunities
Similar active roles
Relevant, currently active roles for this market.
SA
TypeScriptPythonAWSKubernetes
C
PythonMachine LearningAIFinance
A
San Francisco, Canada· Full-time
$183K – $276K/yr
● Strong current hiring demand for this role
PythonJavaRedisAWS
A
San Francisco, Canada· Full-time
$183K – $276K/yr
● Strong current hiring demand for this role
GitRestAIGo
DU
San Francisco, Canada· Full-time
$130.6K – $192K/yr
● Strong current hiring demand for this role
PythonJavaSQLAWS
🔔 Get job alerts
New Software Engineer jobs in San Francisco, Canada, straight to your inbox.
No spam · Unsubscribe anytime