Pika
More roles at PikaML Engineer, Inference & Optimization
Remote role where the employee must remain based in a particular country.
Listed for United States
Source: the job board's country tag. The advert itself does not name United States.
Employer listed it 4 months ago · Added 8 days ago
Been open since 4 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
$250k to $350k per year
Location
Listed for United States
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Data
Published by the employer
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
- Not mentioned in the advert
- Where you can work from
We’re a tight-knit, energetic team based in Palo Alto, CA, valuing efficiency, curiosity, and the ambition to make a meaningful impact on the world.
- Contract
- Not mentioned in the advert
- Experience asked for
- Not mentioned in the advert
- Pay
Competitive salary in the AI industry
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "US remote, Remote"
- Job description states: "based in Palo Alto"
What Nomaders makes of it
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Questions worth asking: Nomaders interpretation
- The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
About the Role
We are seeking Senior/Staff level Inference Engineers to accelerate the performance of Pika's AI-driven products. In this highly technical role, you will operate at the intersection of cutting-edge inference acceleration, GPU parallelism, advanced model deployment, and video generation technologies. Your expertise will drive significant improvements to model speed and efficiency, ensuring our creative AI systems deliver industry-leading user experiences at scale.
You will design and optimize inference pipelines, implement state-of-the-art acceleration techniques, and work closely with researchers and engineers across the team to push the boundaries of what’s possible in real-time AI deployment. Your efforts will play a foundational role in powering the next generation of Pika’s video and language models.
What You’ll Do
Accelerate Inference : Lead and implement advanced inference acceleration techniques, including attention optimization and quantization for efficient model serving.
Maximize GPU Parallelism : Engineer and optimize GPU strategies across tensor, sequence, and pipeline parallelism (TP, SP, PP) for maximal efficiency and scalability.
Programming for Performance : Develop and optimize high-performance computing kernels and distributed workloads using CUDA and NCCL.
Advance AI Deployment : Collaborate with research and engineering teams to bring state-of-the-art videogen and large language models into production.
Improve Training Efficiency : (Bonus) Contribute to improvements in model training speed, stability, and resource utilization as part of our deployment lifecycle.
Technical Excellence : Drive rigorous code reviews, participate in technical discussions, and mentor fellow engineers on best practices in inference and GPU programming.
What We’re Looking For
Experience : 5+ years engineering experience, with a strong track record in inference acceleration and model deployment at scale.
Inference Mastery : Proven expertise in inference optimization, including quantization, attention acceleration, and deep learning compiler stacks.
GPU & Parallelism : Deep knowledge of GPU programming (CUDA, NCCL) and experience with SP, TP, PP, and other forms of parallelism for distributed inference.
AI Domain Knowledge : Familiarity with video generation (videogen) models and large language models (LLMs).
Collaboration : Strong cross-discipline communication skills; able to drive shared goals across research and engineering functions.
Ownership Mindset : Self-driven, solutions-oriented, and capable of managing ambiguity in a fast-paced startup environment.
Bonus : Experience in enhancing training efficiency, stability, or resource optimization for large models.
Nice to Have
Experience with high-throughput video or real-time streaming model deployment
Familiarity with distributed training and optimization toolkits
Contributions to open source projects in AI infrastructure or deep learning compilers
Startup or rapid prototyping experience
What We Offer
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
- ·Competitive salary in the AI industry
- ·Equity in a fast-growing startup shaping the future of AI
- ·Comprehensive health benefits, monthly stipends, company retreats
- ·A supportive and collaborative office culture—we’re all building and launching together
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Pika, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 9d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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