Engineering Manager, Model Inference

About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleOur generative AI-powered products are transforming the practice of medicine—and the inference systems that power them need to be fast, reliable, and world-class. We’re looking for an Engineering Manager to lead and grow our Model Inference team.The Inference team owns the end-to-end technical direction of how our models are served: from architecting low-latency, high-throughput infrastructure to pushing the frontier of LLM serving techniques. You’ll lead a high-performing team of AI inference engineers, partner closely with ML Research and the broader AI Platform, and ensure the systems underpinning every clinician interaction are operating at peak efficiency and reliability.What You’ll DoLead and grow a high-performing team of AI inference engineers focused on building and scaling infrastructure for Abridge’s products and APIsOwn the technical direction of our inference systems—making key decisions around batching, throughput, latency, and GPU utilizationArchitect and scale inference infrastructure for reliability, efficiency, and observability; lead incident responseBenchmark and eliminate bottlenecks throughout the inference stackPartner with ML Research teams on model optimization, quantization, and deploymentDevelop APIs for AI inference used by both internal teams and external customersRecruit, mentor, and develop engineering talent; establish team processes, engineering standards, and operational excellenceWork closely with the GenAI Platform, Data, and Product teams to plan and execute projects that directly impact clinicians and patientsWhat You’ll Bring5+ years of engineering experience with 1+ years in a technical leadership or management roleDeep, 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 analysisExperience deploying reliable, distributed, real-time systems at scaleExperience with parallelism strategies: tensor parallelism, pipeline parallelism, expert parallelismSkilled at hiring and mentorship, with a demonstrated track record of helping engineers grow their skills and careersStrong technical communication and cross-functional collaboration skillsComfortable giving constructive feedback on technical designs and code reviewsHas thrived in a fast-growing startup and knows how to operate with urgency and focusAdded BonusBackground in training infrastructure and RL workloadsSkilled in building secure, compliant systems on major cloud platforms (GCP preferred, AWS experience welcome)Experience with Kubernetes and container orchestration at scalePublished work or contributions to inference optimization researchWhy Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committ