Senior Software Engineer, Tenstorrent

Observability and Telemetry

$100-500k

OTE

OTE is including base and variable compensation targets

SQL

C++

Prometheus

Grafana

Senior and Expert level

Austin

San Francisco Bay Area

Toronto

Next-generation computing company building computers for AI

Open for applications

Next-generation computing company building computers for AI

1001+ employees

B2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine Learning

Open for applications

$100-500k

OTE

OTE is including base and variable compensation targets

SQL

C++

Prometheus

Grafana

Senior and Expert level

Austin

San Francisco Bay Area

Toronto

1001+ employees

B2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine Learning

Company mission

To bring unique solutions to the problems facing AI and machine learning.

Job

Company

Role

Who you are

We welcome candidates at various experience levels for this role
During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting
Strong C++ engineer and comfortable working in both low-level environments and distributed systems design
Experience building atop observability platforms such as Prometheus, OpenTelemetry, Grafana, ClickHouse, or similar technologies
Solid understanding of data structures for manipulating large volumes of data
Familiarity with SQL databases, with time-series databases a plus
Curious about networking and communication across large clusters and comfortable reasoning from first principles while challenging industry conventions

What the job involves

Architect, implement, and maintain TT-Telemetry, our C++-based service for collecting and exporting device-level metrics
Interface with internal engineering teams to build a deep understanding of Tenstorrent’s architecture and identify and surface useful metrics
Design efficient built-in web GUIs for observing device- and cluster-level state, diagnosing problems, and monitoring utilization
Design ingestion pipelines for industry standard telemetry systems (e.g., Prometheus)
Help define the long-term architecture of Tenstorrent’s distributed telemetry stack
What You Will Learn:
How large-scale AI clusters are architected from the networking layer up
The performance characteristics of custom AI hardware and RISC-V processors at scale
How telemetry and observability considerations impact the design of next-gen AI accelerators
How to design and architect a world-class telemetry and observability platform from the ground up

Our take

Tenstorrent is a US- and Canada-based semiconductor startup specializing in processors for AI workloads. Rather than building gneral-purpose CPUs or GPus, the company develops custom chips and sofrware optimized for running moder AI models. As demand for AI accelerates, and as a global chip shortage reshapes the semiconductor industry, these trends have become strong tailwinds for Tenstorrent.

The company’s unique approach is to build for this future software, which it believes will be written at a higher level. Combining this with conditional computing, Tenstorrent supports a scalable distributed network approach that is analogous to a human brain.

While the market for specialized AI hardware is destined to be gigantic, the company has to compete with a plethora of hopeful startups (as well as major tech companies like NVIDIA and Qualcomm). That said, Tenstorrent boasts an excellent trajectory so far, with its latest moves including unveiling its high-end Wormhole AI processors, and a partnership with LG which will see the development of chips for "Affectionate Intelligence".

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

52% employee growth in 12 months

Glassdoor (4.5)

Company

Funding (last 2 of 7 rounds)

Dec 2024

$693m

SERIES D

Jun 2024

$300m

LATE VC

Total funding: $1.3bn

Company HQ

Flemingdon Park, Toronto, ON

Leadership

Jim Keller

(CEO)

Previously Senior VP of Silicon Engineering at Intel Corporation, VP of Autopilot Hardware Engineering at Tesla, Corporate VP and Chief Architect at AMD, and VP of Engineering at Apple.

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