Sonder
sonder.fyi
Actively hiring
Industrial IoT (IIoT)
View 3 jobs
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Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Hiring now
3
open roles
Backers
1
a16z speedrun
Momentum
0/100
no fresh signals
Last sign of life
1 mo ago
a posting or a news item
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Overview
Building Ambient Intelligence. We're building vision models that live on your machine and watch your screen to learn from your patterns, preferences and workflows.
Tech stack
Technologies named in job postings at Sonder over the last 12 months, by layer, with the share of postings for each.
Technologies in use
16
Postings analysed
3
Stack modernity
64/100
Languages
C++
Python
Rust
TypeScript
Frameworks & libraries
CUDA
JAX
MLX ML
PyTorch
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Full Sonder tech stack
16 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$300k
Typical range
$250k – $300k
Open positions
3
3
Jobs
Staff
100%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Staff | 3 | $300k | $250k – $300k |
Highest paying role
Member of Technical Staff, Local Inference & Kernels
$300k
Normalized to USD per year
Growth
Hiring Momentum
28/100
Slowing
Open positions
3
0 opened / 0 closed in 30 days
ATS activity
Every ~4 hours
Today
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% ▲
Backend
33% ▲
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
New York
New York
United States
HQ
3 open roles 3 posted in 90 days 100% engineering $283k Avg Salary
hires for AI/ML, Backend
Jobs
$180k – $250k per year • In office • Full-Time • New York
Rust
TypeScript
Multimodal AI
Apply
$250k – $300k per year • In office • Full-Time • New York
Python
Reinforcement Learning
JAX
Multimodal AI
PyTorch
Synthetic Data
Post-training
Apply
$250k – $300k per year • In office • Full-Time • New York
C++
llama.cpp
Quantization
MLX ML
CUDA
Triton
KV Cache
Apply