Overview
News
Technologies
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Overview
Elastix AI delivers scalable, energy-efficient AI inference through machine learning, system software, and reconfigurable hardware.
Technologies
Tech DNA
Python
C++
Bash
PyTorch
TensorFlow
Triton
AWS
GCP
Azure
LLM
AI/ML
Python
C++
Kubernetes
PyTorch C++
PyTorch
AWS
GCP
Docker
TensorFlow C++
JAX
Quantization
TensorFlow
Edge AI
Azure
vLLM
LLM
Triton
Amazon EKS
Ansible
ArgoCD
GitOps
Google GKE
Pulumi
Puppet
Terraform
IAM
LLVM
CUDA Toolkit
DeepSpeed
SGLang
TensorRT
TensorRT-LLM
CUDA
TPU
TGI
Other
Bash
Rust
SystemVerilog
Verilog
Stack modernity
74/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Python
5 jobs
Required
Kubernetes
4 jobs
Required
C++
4 jobs
Required
PyTorch
4 jobs
Required
PyTorch C++
4 jobs
Required
GCP
3 jobs
Required
AWS
3 jobs
Required
Quantization
3 jobs
Required
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
20%
AWS
15%
Kubernetes
14%
LLM
13%
Docker
12%
GCP
11%
Share of companies in the same industry that use each technology.
Stack changes
TGI
Aug 2026
IAM
Aug 2026
Edge AI
Aug 2026
TPU
Aug 2026
CUDA
Aug 2026
Triton
Aug 2026
TensorRT-LLM
Aug 2026
TensorRT
Aug 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
NVIDIA
Weekday
Adobe
SambaNova Systems
Cerebras Systems
Qualcomm
Growth
Hiring Momentum
58/100
Growing
Open positions
6
0 opened / 6 closed in 30 days
ATS activity
Every ~3 days
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
67% ▼
DevOps
17% ▼
Hardware
17% ▼
Activity Timeline
Added TGI to stack
Aug 2026
Added IAM to stack
Aug 2026
Added Edge AI to stack
Aug 2026
Added TPU to stack
Aug 2026
Added CUDA to stack
Aug 2026
Added Triton to stack
Aug 2026
Added TensorRT-LLM to stack
Aug 2026
Added TensorRT to stack
Aug 2026
Added SGLang to stack
Aug 2026
Added DeepSpeed to stack
Aug 2026
Added CUDA Toolkit to stack
Aug 2026
Added Verilog to stack
Aug 2026
Jobs
AI Inference Infrastructure Software Engineer (Kubernetes / Cloud)
Verified live · 1 day ago 4 months ago≈ $87k – $182k per year (Estimated) • Equity • In office • Full-Time • 3+ years exp • Bachelor's Degree • Seattle
Bash
Python
Rust
vLLM
Triton
TGI
DevOps
Amazon EKS
Ansible
ArgoCD
AWS
GCP
GitOps
Google GKE
Kubernetes
Pulumi
Puppet
Terraform
IAM
Apply
≈ $141k – $308k per year (Estimated) • Equity • In office • Full-Time • Bachelor's Degree • Seattle
C++
Python
LLVM
PyTorch C++
TensorFlow C++
AI/ML
JAX
LLM
PyTorch
Quantization
TensorFlow
Triton
TPU
Apply
≈ $135k – $252k per year (Estimated) • Equity • In office • Full-Time • 3+ years exp • PhD • Seattle
C++
Python
PyTorch C++
TensorFlow C++
AI/ML
JAX
PyTorch
TensorFlow
Edge AI
DevOps
AWS
Azure
Docker
GCP
Kubernetes
Apply
≈ $135k – $296k per year (Estimated) • Equity • In office • Full-Time • Master's Degree • Seattle
C++
Python
PyTorch C++
TensorFlow C++
AI/ML
JAX
PyTorch
TensorFlow
Edge AI
DevOps
AWS
Azure
Docker
GCP
Kubernetes
Apply
≈ $113k – $224k per year (Estimated) • Equity • In office • Full-Time • 5+ years exp • Bachelor's Degree • Seattle
SystemVerilog
Verilog
Quantization
Edge AI
Apply
≈ $138k – $259k per year (Estimated) • Equity • In office • Full-Time • 3+ years exp • Bachelor's Degree • Seattle
C++
Python
PyTorch C++
AI/ML
CUDA Toolkit
DeepSpeed
LLM
PyTorch
Quantization
SGLang
TensorRT
TensorRT-LLM
vLLM
CUDA
DevOps
Docker
Kubernetes
Apply