Engineering Manager, Model Inference

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Lead and grow a high-performing team of AI inference engineers focused on building and scaling infrastructure for Abridge’s products and APIs
Own the technical direction of our inference systems—making key decisions around batching, throughput, latency, and GPU utilization
Architect and scale inference infrastructure for reliability, efficiency, and observability; lead incident response
Benchmark and eliminate bottlenecks throughout the inference stack
Partner with ML Research teams on model optimization, quantization, and deployment
Develop APIs for AI inference used by both internal teams and external customers
Recruit, mentor, and develop engineering talent; establish team processes, engineering standards, and operational excellence
Work closely with the GenAI Platform, Data, and Product teams to plan and execute projects that directly impact clinicians and patients

5+ years of engineering experience with 1+ years in a technical leadership or management role
Deep, hands-on experience with ML systems and inference frameworks (e.g., PyTorch, TensorRT, vLLM, TensorFlow)
Strong understanding of LLM architecture (eg. Multi-Head Attention, Multi/Grouped-Query Attention, and common transformer components)
Experience with inference optimizations (eg. batching, quantization, kernel fusion, FlashAttention)
Familiarity with GPU characteristics, roofline models, and performance analysis
Experience deploying reliable, distributed, real-time systems at scale
Experience with parallelism strategies: tensor parallelism, pipeline parallelism, expert parallelism
Skilled at hiring and mentorship, with a demonstrated track record of helping engineers grow their skills and careers
Strong technical communication and cross-functional collaboration skills
Comfortable giving constructive feedback on technical designs and code reviews
Has thrived in a fast-growing startup and knows how to operate with urgency and focus

Background in training infrastructure and RL workloads
Skilled in building secure, compliant systems on major cloud platforms (GCP preferred, AWS experience welcome)
Experience with Kubernetes and container orchestration at scale
Published work or contributions to inference optimization research

Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families.
Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA.
Paid Parental Leave: Generous paid parental leave for all full-time employees.
Family Forming Benefits: Resources and financial support to help you build your family.
401(k) Matching: Contribution matching to help invest in your future.
Personal Device Allowance: Tax free funds for personal device usage.
Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.
Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more.
Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals.
Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment.
Compensation and Equity: Competitive compensation and equity grants for full time employees.
... and much more!

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