HeyGen
About HeyGen
Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below. At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences. Learn more at www.heygen.com. Visit our Mission and Culture doc here.
We are seeking a seasoned
Technical Leader
to build and scale the foundational compute infrastructure that powers our state‑of‑the‑art AI models—from multimodal training data pipelines to high‑throughput, low‑latency video generation.
Responsibilities You will be the core engineer responsible for building the robust, efficient, and scalable platform that enables our research and production teams to rapidly iterate on HeyGen's generative video models. Your contributions will directly impact model performance, developer productivity, and the final quality of every AI‑generated video.
Optimize GPU Utilization:
Design and implement mechanisms to aggressively
optimize GPU and cluster utilization
across thousands of devices for inference, training, data processing and large‑scale deployment of our
state‑of‑art video generation models .
Develop Large‑Scale AI Job Framework:
Build highly scalable, reliable frameworks for launching and managing massive, heterogeneous compute jobs, including multi‑modal high‑volume data ingestion/processing, distributed model training, and continuous evaluation/benchmarking.
Enhance Observability:
Develop world‑class
observability, tracing, and visualization tools
for our compute cluster to ensure reliability, diagnose performance bottlenecks (e.g., memory, bandwidth, communication).
Accelerate Pipelines:
Collaborate closely with AI researchers and AI engineers to integrate innovative acceleration techniques (e.g., custom CUDA kernels, distributed training libraries) into production‑ready, scalable training and inference pipelines.
Infrastructure Management:
Champion the adoption and optimization of modern cloud and container technologies ( Kubernetes, Ray ) for elastic, cost‑efficient scaling of our distributed systems.
We are looking for a highly motivated engineer with deep experience operating and optimizing AI infrastructure at scale.
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
5+ years of full‑time industry experience in
large‑scale MLOps, AI infrastructure, or HPC systems .
Experience with data frameworks and standards like
Ray, Apache Spark, LanceDB .
Strong proficiency in
Python
and a high‑performance language such as
C++
for developing core infrastructure components.
Deep understanding and hands‑on experience with modern orchestration and distributed computing frameworks such as
Kubernetes and Ray .
Experience with core ML frameworks such as
PyTorch, TensorFlow, or JAX .
Preferred Qualifications Master's or PhD in Computer Science or a related technical field.
Demonstrated Tech Lead experience, driving projects from conceptual design through to production deployment across cross‑functional teams.
Prior experience building infrastructure specifically for
Generative AI models
(e.g., diffusion models, GANs, or large language models) where cost and latency are critical.
Proven background in building and operating large‑scale
data infrastructure
(e.g., Ray, Apache Spark) to manage petabytes of multi‑modal data (video, audio, text).
Expertise in
GPU acceleration
and deep familiarity with low‑level compute programming, including
CUDA, NCCL , or similar technologies for efficient inter‑GPU communication.
What HeyGen Offers Competitive salary and benefits package. Dynamic and inclusive work environment. Opportunities for professional growth and advancement. Collaborative culture that values innovation and creativity. Access to the latest technologies and tools.
HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
#J-18808-Ljbffr
Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below. At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences. Learn more at www.heygen.com. Visit our Mission and Culture doc here.
We are seeking a seasoned
Technical Leader
to build and scale the foundational compute infrastructure that powers our state‑of‑the‑art AI models—from multimodal training data pipelines to high‑throughput, low‑latency video generation.
Responsibilities You will be the core engineer responsible for building the robust, efficient, and scalable platform that enables our research and production teams to rapidly iterate on HeyGen's generative video models. Your contributions will directly impact model performance, developer productivity, and the final quality of every AI‑generated video.
Optimize GPU Utilization:
Design and implement mechanisms to aggressively
optimize GPU and cluster utilization
across thousands of devices for inference, training, data processing and large‑scale deployment of our
state‑of‑art video generation models .
Develop Large‑Scale AI Job Framework:
Build highly scalable, reliable frameworks for launching and managing massive, heterogeneous compute jobs, including multi‑modal high‑volume data ingestion/processing, distributed model training, and continuous evaluation/benchmarking.
Enhance Observability:
Develop world‑class
observability, tracing, and visualization tools
for our compute cluster to ensure reliability, diagnose performance bottlenecks (e.g., memory, bandwidth, communication).
Accelerate Pipelines:
Collaborate closely with AI researchers and AI engineers to integrate innovative acceleration techniques (e.g., custom CUDA kernels, distributed training libraries) into production‑ready, scalable training and inference pipelines.
Infrastructure Management:
Champion the adoption and optimization of modern cloud and container technologies ( Kubernetes, Ray ) for elastic, cost‑efficient scaling of our distributed systems.
We are looking for a highly motivated engineer with deep experience operating and optimizing AI infrastructure at scale.
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
5+ years of full‑time industry experience in
large‑scale MLOps, AI infrastructure, or HPC systems .
Experience with data frameworks and standards like
Ray, Apache Spark, LanceDB .
Strong proficiency in
Python
and a high‑performance language such as
C++
for developing core infrastructure components.
Deep understanding and hands‑on experience with modern orchestration and distributed computing frameworks such as
Kubernetes and Ray .
Experience with core ML frameworks such as
PyTorch, TensorFlow, or JAX .
Preferred Qualifications Master's or PhD in Computer Science or a related technical field.
Demonstrated Tech Lead experience, driving projects from conceptual design through to production deployment across cross‑functional teams.
Prior experience building infrastructure specifically for
Generative AI models
(e.g., diffusion models, GANs, or large language models) where cost and latency are critical.
Proven background in building and operating large‑scale
data infrastructure
(e.g., Ray, Apache Spark) to manage petabytes of multi‑modal data (video, audio, text).
Expertise in
GPU acceleration
and deep familiarity with low‑level compute programming, including
CUDA, NCCL , or similar technologies for efficient inter‑GPU communication.
What HeyGen Offers Competitive salary and benefits package. Dynamic and inclusive work environment. Opportunities for professional growth and advancement. Collaborative culture that values innovation and creativity. Access to the latest technologies and tools.
HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
#J-18808-Ljbffr