Senior Inference Engineer: Remote GPU-Accelerated AI Deployment

Pika; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive salary

Equity

Health benefits

Collaborative culture

Job summary

Pika, a Palo Alto–based AI startup, is seeking Senior/Staff Inference Engineers to accelerate AI-driven products. You will design and optimize inference pipelines, implement state‑of‑the‑art acceleration techniques, and collaborate with researchers to push real-time video and language models to production.

You’ll maximize GPU parallelism using CUDA and NCCL, develop high‑performance kernels, and contribute to model deployment and training efficiency.

Qualifications

• 5+ years engineering experience in inference acceleration and deployment at scale.
• Expertise in inference optimization, quantization, and attention acceleration.
• Strong GPU programming experience with CUDA and NCCL.
• Familiarity with videogen models and large language models.
• Excellent cross-discipline collaboration and ownership mindset.

Responsibilities

• Accelerate inference using advanced acceleration techniques.
• Maximize GPU parallelism across tensor, sequence, and pipeline parallelism.
• Develop high-performance kernels and distributed workloads with CUDA/NCCL.
• Advance AI deployment of videogen and LLMs into production.
• Improve training efficiency and participate in code reviews.

Skills

Inference acceleration

GPU programming

CUDA

NCCL

Distributed inference

Quantization

Model deployment

Collaboration

Tools

CUDA

NCCL

Job description

Pika, a Palo Alto–based AI startup, is seeking Senior/Staff Inference Engineers to accelerate AI-driven products. You will design and optimize inference pipelines, implement state‑of‑the‑art acceleration techniques, and collaborate with researchers to push real-time video and language models to production.

You’ll maximize GPU parallelism using CUDA and NCCL, develop high‑performance kernels, and contribute to model deployment and training efficiency.