Zeer Zoox / intent / zoox

Zoox

1001-5000 employees·Foster City, California, United States·zoox.com

Observed, not inferred · updated weekly

Buying intent

68 tracked signals | Top 15 topics are below | Engineering and Marketing are carrying most of it.

39signals · 30 days
44topics tracked
53.85%attributed to a team

Attention by team

LinkedIn activity, by team

Where Zoox's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.

Artificial Intelligence
Career Development
Hiring
Software Development
Engineering team
Energy Efficiency
Engineering
Medium40% of team Engineering to Artificial Intelligence: Medium, 40% of this team's signals
Engineering to Career Development: no signal
Low20% of team Engineering to Hiring: Low, 20% of this team's signals
Medium40% of team Engineering to Software Development: Medium, 40% of this team's signals
Engineering to Engineering team: no signal
Engineering to Energy Efficiency: no signal
Marketing
High100% of team Marketing to Artificial Intelligence: High, 100% of this team's signals
Marketing to Career Development: no signal
Marketing to Hiring: no signal
Marketing to Software Development: no signal
Marketing to Engineering team: no signal
Marketing to Energy Efficiency: no signal
Operations
Operations to Artificial Intelligence: no signal
Low33% of team Operations to Career Development: Low, 33% of this team's signals
Operations to Hiring: no signal
Operations to Software Development: no signal
Medium67% of team Operations to Engineering team: Medium, 67% of this team's signals
Operations to Energy Efficiency: no signal
Product
Low100% of team Product to Artificial Intelligence: Low, 100% of this team's signals
Product to Career Development: no signal
Product to Hiring: no signal
Product to Software Development: no signal
Product to Engineering team: no signal
Product to Energy Efficiency: no signal
Others
Medium25% of team Others to Artificial Intelligence: Medium, 25% of this team's signals
Medium25% of team Others to Career Development: Medium, 25% of this team's signals
Medium25% of team Others to Hiring: Medium, 25% of this team's signals
Low8% of team Others to Software Development: Low, 8% of this team's signals
Others to Engineering team: no signal
Medium17% of team Others to Energy Efficiency: Medium, 17% of this team's signals
LowMediumHigh·  banded against the busiest pairing on this page

Topics being researched

30-day window

Every tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.

Artificial Intelligence
LinkedIn
High volume
94%
last
3d ago
Career Development
LinkedIn
Medium volume
97%
last
3d ago
Hiring
LinkedIn
Medium volume
92%
last
18d ago
Software Development
LinkedIn
Low volume
95%
last
15d ago
Engineering team
LinkedIn
Low volume
89%
last
3d ago
Energy Efficiency
LinkedIn
Low volume
96%
last
13d ago
Quality Control
LinkedIn
Low volume
98%
last
14d ago
Commuting
LinkedIn
Low volume
92%
last
13d ago
Software Developers
LinkedIn
Low volume
94%
last
15d ago
Supply Chain
LinkedIn
Low volume
92%
last
4d ago
Process Improvement
LinkedIn
Low volume
98%
last
29d ago
Conference
LinkedIn
Low volume
94%
last
26d ago
Hardware Engineering
LinkedIn
Low volume
98%
last
7d ago
Hackathon
LinkedIn
Low volume
92%
last
13d ago
Human Resources Manager
LinkedIn
Low volume
98%
last
3d ago

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Who's active at Zoox

verified title on file

Titles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.

Others11 active
researching Commuting
in
Leadershipresearching Data Visualization
in
researching Negotiation
in
researching Human Resource Management
in
Leadershipresearching Program Management
in
Senior ICresearching Hiring
in
Executiveresearching White-Collar Defense
in
researching Artificial Intelligence
in
vh6 team lead
researching Career Development
in
+ 1 more in Others
Engineering5 active
Software Engineer
researching Hiring
in
Senior Staff Software Engineer
researching Machine Learning
in
Ø -
researching Software Development
in
Machine Learning Engineer
researching Hackathon
in
Senior Software Engineer - Perception
researching Artificial Intelligence
in
+ 5 more in Engineering
Operations3 active
Staff Field Safety Operations Manager / First Responder Specialist
Senior ICresearching Mental Health
in
Senior Technical Program Manager / Manufacturing Engineering
Leadershipresearching Career Development
in
Technical Vehical Program Management and Launch
researching Engineering team
in
+ 3 more in Operations
Marketing2 active
Brand Marketing Project Manager
Senior ICresearching Artificial Intelligence
in
Lifecycle Marketing Manager
researching Artificial Intelligence
in
+ 2 more in Marketing
Product2 active
staff technical program manager
Leadershipresearching Supply Chain
in
Senior Autonomy Integration Manager
Leadershipresearching Artificial Intelligence
in
+ 2 more in Product

See everyone, not just the first 10

23 people across every department at Zoox, plus a LinkedIn profile link for each.

Primary products / business lines

LinkedIn company profile

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.

New capability sought

Employee posts (LinkedIn)

Quality Control; Software Developers; Supply Chain

Top accounts researching Zoox

names withheld on the public page

These are companies whose own people brought up Zoox unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.

129,094 companies · 649,540 people are researching Artificial Intelligence

Zoox's own team shows 11 signals on this topic. No one outside Zoox has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Career Development57,400 cos · 377,367 people
  • Hiring66,174 cos · 318,882 people
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Buyer profile

company size · seniority

Company size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.

Unlock the buyer profile

Company-size breakdown and buyer seniority mix for accounts researching Zoox.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Engineering — 7 people; Marketing — 2 people; Operations — 2 people

What's been said

public posts by Zoox's team

No public post naming Zoox has surfaced in the past year, so this is what Zoox's own team is posting about publicly — their topics, in their words.

YouTubeautonomous vehicles

Uber does have dozens of partnerships with all of these other autonomous vehicle firms, and we haven't really seen them because a lot of them haven't come into fruition yet.

View source post
LinkedInAI Workload

Disaggregated Inference, Part 3: Why Your Networking Stack May Not Be Ready ( https://lnkd.in/dCpfsFTk ) Last week I posted about how the KV cache actually moves between prefill and decode. Once you've decided to send it, the next problem shows up fast: what network stack can move gigabytes between GPUs in milliseconds? A few moves that matter: ✳️ NCCL burns GPU streaming multiprocessors moving bytes. On the 256KB–1MB messages typical of KV transfers, that costs 30–50% throughput vs purpose-built P2P engines. ✳️ Three purpose-built transports have emerged, each solving a different problem. NIXL abstracts heterogeneous memory tiers; UCCL does P2P without SM overhead and runs across NVIDIA and AMD; Mooncake's Transfer Engine aggregates across NICs to hit 190 GB/s on 8×400 Gbps. ✳️ AWS and Cerebras announced a collaboration to ship a solution on AWS Bedrock that will run prefill on AWS Trainium and decode on the Cerebras CS-3, stitched together over Elastic Fabric Adapter. Cross-vendor disaggregation isn't research anymore. The punchline: when the chips on either side of the wire are built by different companies, the data plane stops being plumbing and becomes the product. That wraps the 3-part series. Earlier posts: Part 1: When prefill/decode disaggregation is worth it: https://lnkd.in/dwiRQKUz Part 2: Moving the KV cache without stalling decode: https://lnkd.in/dpjp6b_F #LLMInference #AIInfrastructure #KVCache

May 2026
YouTubeenterprise deployment

One is enterprise owned fleet. The other one is event-based campaign.

View source post
YouTuberobotaxi / autonomous vehicles

They got approval from the NHTSA to run their like really, really innovative and cool robot vehicles as well.

View source post
LinkedInStrategic Partnerships, Inc.

I’ve joined the Strategic Partnerships team at Waymo . I'm really excited to work with Shana Downs , Madeline Csere , and a few other familiar faces 🙂 I've long believed that AVs will meaningfully increase access to safe, accessible, and equitable transportation, while decreasing carbon emissions - thrilled to play a small part in bringing this to more communities. Photo is Jay Kornder II and me at the 2018 New York Auto Show, where the Waymo Jaguar I-pace was unveiled!

May 2026
LinkedInAutomotive Virtualization

I designed this drivetrain/differential concept in Shapr3D using VR to explore component interaction, packaging, and immersive engineering visualization beyond traditional CAD environments. It’s exciting to see how VR tools could transform future engineering workflows, product development, and design reviews. #CAD #VR #Shapr3D #MechanicalEngineering #AutomotiveEngineering

May 2026
LinkedInClickHouse

I'll be speaking at ClickHouse Open House in San Francisco (May 26–28) about how we use ClickHouse / ClickStack for Observability at Zoox , and what we learned while adopting it at scale. If you're using ClickHouse for observability, I'd love to connect! https://lnkd.in/gnMx7FEn

May 2026
LinkedInJIT

I'm presenting a poster at PyCon 2026 🐍 "How Python Powers Modern AI: Comparing PyTorch and JAX Execution Stacks" One question drove the whole thing: when you call torch.matmul (a, b), does it hit cuBLAS directly — or does TorchInductor compile a fused Triton kernel? Spoiler: it depends on whether torch.compile is in the picture. Come chat at the poster session if you're around. Always happy to dig into inference optimization. #PyConUS #PyCon #Python #PyTorch #JAX

May 2026
LinkedIn

Pair your phone once, auto-connect for every ride — the best music experience in the whole wide world of mobility. Super proud to have contributed to the content design & product marketing for this. Congrats Josh Redel Maria Jose Perez Calvo Joshua Yao Thibault de Waziers Alex Wolowiecki Loarna Hassen May Wong Monique M. and so many others!

May 2026

About this data. Zoox (zoox.com). Department attribution is 53.85%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries