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Added 1 hour ago
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Senior Process Engineer (Minerals & Metals)
Wood
Burlington, ON
- $157,000 to $192,000 CAD / year
- Full-time
Serve as the Process Engineer on projects; planning and carrying out the process engineering activities on technically complex projects.
Added 2 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 2 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 2 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 6 hours ago
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Lead Process Engineer
Airswift
Calgary, AB
- Contract
We're looking for a Lead Process Engineer with previous experience leading teams of 10+ engineers, a strong background in detailed engineering and FEED for alkylation facility design and…
Added 8 hours ago
KC
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
- Full-time
We're on the hunt for a top-tier Senior Embedded Software Engineer. Your focus will be on software development and maintenance required for both space and ground-based assets for a growing…
Added 8 hours ago
FT
Machine Learning Engineer
FDE Times
Toronto, ON · Greater Toronto Area, Canada
- Full-time
As a Machine Learning Engineer At Reddit, You Will Design And Build Production ML Systems That Power Core Experiences Across The Platform, Including
Added 8 hours ago
FT
Senior Machine Learning Engineer
FDE Times
Toronto, ON · Greater Toronto Area, Canada
- Full-time
As a Machine Learning Engineer At Reddit, You Will Design And Build Production ML Systems That Power Core Experiences Across The Platform, Including
Added 9 hours ago
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Technical Sales and Field Service Engineer
Captiveaire - Region 114 Western PA
Saskatoon, SK
- Full-time
Every day I get to help someone. Whether it's an engineer with a design, a contractor with a troubleshooting issue, or an end user looking for help to obtain better indoor air quality. I…
Added 11 hours ago
S&
Senior Structural Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
As a member of an engineering and design team, you will work on a wide range of projects for various clients. You will prepare and review design calculations, develop specifications, and…
Added 12 hours ago
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Software Engineer - Backend
Nominal
Montreal, QC
- $179,000 to $250,000 CAD / year
- Full-time
Nominal's backend runs on a set of Platform teams that own everything below the product surface: ingesting and storing the world's hardware data, making it queryable at scale, and keeping…
Added 12 hours ago
S&
Senior Piping Stress Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
In this position, you will be responsible for piping analysis work on new and existing generation nuclear projects, and will interface with systems engineering, structural engineering,…
Added 12 hours ago
S&
Lead EHV Transmission Line Engineer 2 - Grid
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
Experience must include preparation of scopes of work, development of conceptual designs, determination of design basis, the selection of equipment and materials, and the preparation and…
Added 12 hours ago
S&
Lead Structural Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
Direct the preparation and review of design calculations, specifications, reports and other deliverables and support designers with drawing development.
Added 12 hours ago
Senior Quality Assurance Engineer
NetBrain
Toronto, ON
NetBrain is looking for an experienced Senior QA Engineer to work on a variety of automation-related projects for our unparalleled network automation platform, powered by agentic-AI. We…
Added 14 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 14 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 14 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 17 hours ago
WI
Senior Process Engineer - Wastewater Treatment
WSP in Canada
Sarnia, ON
- Full-time
As a Senior Process Engineer – Wastewater Treatment, you will lead the planning, evaluation, design, commissioning, and optimization of municipal treatment facilities. You will combine…

Nominal

Software Engineer - Backend

Montreal, QC, Canada

$179,000 to $250,000 CAD / year · Full-time

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Job details

Pay: $179,000 to $250,000 CAD / year
Job type: Full-time
Apply by: Dec 7, 2026
Posting language: English
Posted: Nov 7, 2026

Original job description

About Nominal

Engineers today are building some of the most ambitious machines humanity has ever seen. They should have AI that’s purpose-built for them.

Nominal is building the Hardware Intelligence Platform that gives engineers increased visibility into complex physical systems, helps them make better decisions, and ultimately gets their products into the real world faster. It brings together the systems, data, intelligence, and applications hardware engineering requires to meet the AI moment. Hardware engineering teams use Nominal to simulate, test, manufacture, and operate the physical systems that keep the world moving, from spacecraft and autonomous vehicles to next-generation energy systems and robotics.

Our customers span aerospace, defense, manufacturing, transportation, energy, and robotics. They include Anduril, Shield AI, Wisk Aero, Pratt Miller Motorsports, Antares, and Shinkei Systems, amongst others, alongside programs within the U.S. Air Force and Navy. Our team draws from SpaceX, Palantir, Anduril, Applied Intuition, Tesla, and other leading companies, united by a common mission: giving hardware engineers the tools to build the future with speed, safety, and confidence. We're a fast-moving team that owns problems end-to-end, works across disciplines, and thrives at the intersection of hardware and software.

Some of the world’s leading technology investors, including Sequoia, Lightspeed, Founders Fund, General Catalyst, Lux Capital, and Insight Partners, are backing Nominal’s ambition to change how machines are built and operated. We’re looking for engineers who want to take on hard problems and help make a new generation of world-changing hardware possible.

About The Role

Nominal's backend runs on a set of Platform teams that own everything below the product surface: ingesting and storing the world's hardware data, making it queryable at scale, and keeping the whole system running across cloud, on-prem, and air-gapped environments. As a Backend Software Engineer, you'll join one of these teams and design and build the distributed infrastructure that powers the telemetry and validation platform, systems that ingest multi-modal data (time series, video, point clouds, asset and run catalogs), serve it back at high scale, and hold up under real production load from customers.

This role is ideal for engineers who enjoy working close to the metal of distributed systems, reasoning about throughput, latency, data models, and failure, and who want to see their work directly enable real-world hardware. You'll own critical backend systems end to end, from ingestion pipelines to storage engines to performance tuning in production.

🚀 What you'll do

Architect and evolve distributed systems that ingest, process, and persist high-frequency telemetry and sensor data.
Design storage and indexing strategies for large, time-series, and event-driven datasets with strict performance and correctness requirements.
Tackle hard problems around scalability, backpressure, fault tolerance, and data consistency in real-time systems.
Optimize hot paths, reduce tail latency, and improve reliability as the system scales with new customers and use cases.
Collaborate closely with product, infrastructure, and customer-facing engineers to solve domain-specific problems for cutting-edge hardware teams.
Influence backend architecture and technical direction, mentor teammates, and raise the bar for system design across the org.

🔍 We're looking for someone with

3+ years building distributed systems where performance, reliability, and operational simplicity matter.
Strong experience in Go, Rust, or Java, with an emphasis on correctness, clarity, and long-lived systems.
Deep familiarity with cloud infrastructure (AWS, GCP, or Azure) and production tooling like Kubernetes, Docker, and Terraform.
Hands-on experience designing or operating storage systems: time-series databases, columnar formats, or analytics engines (e.g., ClickHouse, TimescaleDB, Druid, InfluxDB, Parquet).
Experience with streaming or data processing technologies such as Kafka, Apache Arrow, Flink, or Spark.
Comfort reasoning about distributed systems tradeoffs: latency vs. throughput, consistency vs. availability, abstraction vs. control.
Clear technical communication and a bias toward ownership: you design it, build it, ship it, and operate it.

✨ Benefits/Perks

🏥 100% coverage of medical, dental, and vision insurance
🏖️ Unlimited PTO and sick leave
🍽️ Free lunch, snacks, and coffee
🚀 Professional Development Stipend
🛠️ In-office hardware lab with a $250 project stipend
✈️ Annual company retreat

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

ITAR Requirements

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C.

1157, or (iv) Asylee under 8 U.S.C.
1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

Compensation

The base pay range for this role is $179,000 – $250,000 per year.

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More about this job

Responsibilities

Design, build, and operate distributed backend systems for ingesting, processing, storing, and serving high-frequency telemetry and multimodal hardware data. Improve scalability, reliability, consistency, and performance, and collaborate across teams to shape backend architecture and technical direction.

Requirements

Requires 3+ years of experience building performance-sensitive, reliable distributed systems and strong experience with Go, Rust, or Java. Candidates should have cloud and production tooling experience, hands-on familiarity with storage systems and streaming or data-processing technologies, and the ability to own systems from design through operation.

Skills

Distributed Systems
Go
Rust
Java
Cloud Infrastructure
Kubernetes
Docker
Terraform
Storage Systems
Time-Series Databases
Data Processing
Kafka
Apache Arrow
Flink
Spark
System Design

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Unlimited Paid Time Off
Sick Leave
Free Lunch, Snacks, And Coffee
Professional Development Stipend
In-Office Hardware Lab
$250 Project Stipend
Annual Company Retreat

Visa sponsorship

Not detected in the job text

Keywords

Distributed Systems
Backend Infrastructure
Telemetry
Sensor Data
Time-Series Data
Event-Driven Data
Data Ingestion
Data Processing
Storage Engines
Indexing
Scalability
Backpressure
Fault Tolerance
Data Consistency
Latency Optimization
Go
Rust
Java
AWS
GCP
Azure
Kubernetes
Docker
Terraform
ClickHouse
TimescaleDB
Druid
InfluxDB
Parquet
Kafka

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