... cache management, and the related observability * Lead deep technical discovery with NeoClouds ... Work with an established Silicon Valley leader in the cloud infrastructure industry. * Work with ...
... cache management, and the related observability * Lead deep technical discovery with NeoClouds ... Work with an established Silicon Valley leader in the cloud infrastructure industry. * Work with ...
... cache management, and the related observability * Lead deep technical discovery with NeoClouds ... Work with an established Silicon Valley leader in the cloud infrastructure industry. * Work with ...
... cache management, and the related observability * Lead deep technical discovery with NeoClouds ... Work with an established Silicon Valley leader in the cloud infrastructure industry. * Work with ...
... cache management, and the related observability * Lead deep technical discovery with NeoClouds ... Work with an established Silicon Valley leader in the cloud infrastructure industry. * Work with ...
Quick apply
... cache management, and the related observability * Lead deep technical discovery with NeoClouds ... Work with an established Silicon Valley leader in the cloud infrastructure industry. * Work with ...
Full Stack Cloud Developer
Dallas, TX · On-site
... Cloud o Distributed Cache Technologies o Java Persistence APIs o ORM frameworks o Previous ... Valley is the sweet spot) Understanding & demonstrated experience in Domain Driven Design ...
Full Stack Cloud Developer
Dallas, TX · On-site
... Cloud o Distributed Cache Technologies o Java Persistence APIs o ORM frameworks o Previous ... Valley is the sweet spot) Understanding & demonstrated experience in Domain Driven Design ...
Cache Valley information
See Texas salary details
$879.42 - $1.9K
24% of jobs
$1.9K is the 25th percentile. Wages below this are outliers.
$1.9K - $2.9K
39% of jobs
$2.9K - $3.8K
6% of jobs
$3.8K - $4.8K
2% of jobs
$4.8K - $5.8K
1% of jobs
$6.6K is the 75th percentile. Wages above this are outliers.
$5.8K - $6.8K
2% of jobs
$6.8K - $7.8K
5% of jobs
$7.8K - $8.8K
6% of jobs
$8.8K - $9.8K
6% of jobs
$9.8K - $10.8K
3% of jobs
$10.8K - $11.8K
3% of jobs
$879
$4.4K
$11.8K
How much do cache valley jobs pay per month?
What are some common challenges faced by professionals working in the Cache Valley area, and how can job seekers prepare for them?
What is the synonym of cache?
What is the difference between Cache Valley vs HVAC Technician?
| Aspect | Cache Valley | HVAC Technician |
|---|---|---|
| Required Credentials | High school diploma, some certifications | HVAC certification, EPA license |
| Work Environment | Construction sites, residential & commercial buildings | Heating, ventilation, air conditioning systems in various settings |
| Industry Usage | Regional job market in Utah and surrounding areas | Heating, cooling, refrigeration services across industries |
Cache Valley refers to a geographic region in Utah, while HVAC Technician is a specific trade role focused on installing and maintaining climate control systems. The comparison highlights that Cache Valley is a location, whereas HVAC Technician is a profession often found within that region. Understanding this difference helps job seekers target the right opportunities in the area for HVAC careers.
Is it good to clear your cache?
What is the meaning of the word cache?
What does it mean if a person has cache?
What is a Cache Valley job?
A Cache Valley job refers to employment opportunities in the Cache Valley region, which spans northern Utah and southern Idaho. The area has a diverse job market, including industries like agriculture, manufacturing, education, healthcare, and technology. Major employers include Utah State University, local government, food production companies, and small businesses. Jobs in Cache Valley can range from entry-level positions to specialized careers in various fields.
What are the key skills and qualifications needed to thrive as a Cache Valley?
What are Cache Valley jobs?

Full-time
Posted 5 days ago
Job description
About Mirantis
Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment-on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.
Job Description
Job Summary
Mirantis is looking for a commercially driven, deeply technical Product Manager to own AI inference and model serving for k0rdent AI, our control plane for GPU infrastructure and distributed AI workloads. This role sits at the intersection of AI inference, cloud-native infrastructure, distributed systems, and performance engineering. You will define how NeoClouds and Enterprise customers deploy, scale, and operate production inference services while extracting maximum performance from the underlying GPU, network, and storage infrastructure.
This role owns product strategy and solution development for inference products across on-premises, cloud, and edge environments. The scope includes serverless inference, dedicated endpoints, workload placement, autoscaling, routing, lifecycle management, observability, and full-stack performance optimization. This person will define how customers run production model-serving workloads at scale while improving latency, throughput, utilization, reliability, cost, and operational control.
The ideal candidate has experience with high-performance infrastructure products and understands how production systems behave under real-world load. They should be comfortable reasoning across the full stack, identifying performance bottlenecks, evaluating system design trade-offs, and translating technical insight into clear product requirements, architecture direction, and customer-facing solutions.
Responsibilities
- Own product strategy, roadmap, and lifecycle for inference and model serving, including serverless inference, dedicated endpoints, autoscaling, routing, KV cache management, and the related observability
- Lead deep technical discovery with NeoClouds, sovereign clouds, and enterprise platform teams, and translate findings into prioritized requirements and architecture direction
- Partner with engineering on system design trade-offs across runtime integration, GPU scheduling, network, storage, and serving topology, including disaggregated serving and multi-model serving
- Define positioning grounded in measurable outcomes: latency distributions, throughput per GPU, utilization, tail reliability, and cost per tokens
- Drive go-to-market execution: pricing and packaging, reference architectures, sizing guides, PoC playbooks, and direct engagement with customers, analysts, and ecosystem partners
Qualifications
- 7+ years in product management, technical product management, or a senior technical role owning AI/ML and inference product(s)
- Strong understanding of production AI inference, including model serving, serverless execution, dedicated endpoints, autoscaling, routing, workload placement, observability, and reliability
- Proven capability to reason about performance trade-offs across GPU, network, storage, orchestration, and runtime layers, and to translate low-level technical capability into business value such as TTFT, throughput per GPU, and TCO
- Working knowledge of modern inference runtimes (vLLM, SGLang, TensorRT-LLM, Dynamo, Triton) and the optimization patterns that matter in production: continuous batching, KV cache management, cold starts, prefill versus decode, disaggregated serving, and multi-model serving
- Credibility with engineering leaders and infrastructure operators, including comfort in production architecture reviews and technical commercial conversations with platform engineering buyers
Why you'll love Mirantis
- Build the token factory foundation for the AI cloud era, working directly with leading GPU cloud operators, NeoClouds, sovereign clouds, and AI-first enterprises
- Collaborate with a world-class, distributed team committed to openness and technical excellence
- Shape the product narrative and influence go-to-market success
Additional Information
What does Mirantis offer you?
- Work with an established Silicon Valley leader in the cloud infrastructure industry.
- Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies.
- Be a part of cutting-edge, open-source innovation.
- Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued.
- Professional development and training.
- Attend conferences and working groups.
- Customized workstation (macOS, Windows).
- A competitive compensation package with strong benefits plan and stock options.
It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to isamoylova@mirantis.com
By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities.
#remote
We are a Leader for Container Management in G2 (#2 after AWS)!
About Mirantis
Sourced by ZipRecruiter
Industry
Software development
Company size
501 - 1,000 Employees
Headquarters location
Campbell, CA, US
Year founded
1999