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Software Engineer (ML)

Wiraa

Salary not specified
Aug 29, 2025
Remote, US
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DoorDash is looking to solve the problem of designing, developing, and optimizing systems that support real-time ML inference at scale to drive the next generation of their inference platform, ensuring it can handle complex models with low latency, high throughput, and cost efficiency.

Requirements

  • Deep familiarity with ML inference, serving ecosystems, and deployment frameworks
  • Proficiency in leveraging and extending open-source frameworks such as NVIDIA Triton, TensorRT, ONNX Runtime, or vLLM
  • Experience with deep learning frameworks like PyTorch and TensorFlow
  • Hands-on experience with Kubernetes, microservice architectures, and large-scale orchestration for inference workloads
  • Cloud platform experience (AWS, GCP, Azure) focusing on scaling, observability, and cost optimization
  • Strong understanding of hardware acceleration (GPU, TPU, CPU) and heterogeneous hardware management
  • Experience with building or operating large-scale ML serving systems

Responsibilities

  • Design and develop scalable ML inference serving systems capable of handling complex models at low latency
  • Operationalize inference optimizations such as caching, batching, attention mechanisms, and quantization to improve performance and cost-efficiency
  • Create abstractions and primitives that enable broad application of serving improvements across multiple workloads
  • Leverage and contribute to open-source serving ecosystems, integrating vendor solutions and developing custom extensions as needed
  • Implement autoscaling, scheduling, and resource management strategies across heterogeneous hardware platforms
  • Ensure system reliability, observability, and security through robust monitoring, alerting, and best practices
  • Collaborate with ML engineers, infrastructure teams, external vendors, and open-source communities to evolve the serving stack

Other

  • 8+ years of engineering experience
  • Excellent collaboration, mentorship, and communication skills
  • Ability to make pragmatic decisions balancing performance, reliability, and cost
  • Competitive salary with performance-based incentives
  • Comprehensive health, dental, and vision insurance plans