Full-Time

Software Development Engineer

Platform

Apera AI

Apera AI

51-200 employees

AI-powered 3D vision for automation

Compensation Overview

CA$110k - CA$180k/yr

+ Equity Opportunities

Vancouver, BC, Canada

In Person

On-site in Vancouver, Canada.

Category
DevOps & Infrastructure (1)
Required Skills
Python
Docker
C/C++
DevOps
Linux/Unix

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Requirements
  • 3+ years of experience in system-level or platform software development.
  • Proficiency in Python and C++, with experience building deployment or configuration tools.
  • Hands-on experience with Linux environments (Ubuntu preferred), Docker, and automation frameworks.
  • Experience integrating hardware, cameras, GPUs, robot controllers, and network interfaces — into cohesive systems.
  • Familiarity with Ubuntu autoinstall, cloud-init, and system imaging for scalable deployment automation.
  • Knowledge of DevOps principles, CI/CD pipelines, and AI-assisted testing.
  • Strong debugging, documentation, and cross-team collaboration skills.
Responsibilities
  • Build the backbone: Design and implement platform software in Python and C++ that automates deployment, provisioning, upgrades, and backups for distributed robotic systems.
  • Integrate hardware: Connect and validate vision cameras, NVIDIA GPUs, network devices, and robot controllers into a seamless, high-performance platform using Dockerized environments.
  • Configure the platform: Contribute to Linux (Ubuntu) system configuration, including autoinstall, cloud-init, and image management to support scalable deployments.
  • Automate reliability: Develop automated health checks, backup/restore processes, and upgrade workflows that keep systems running with near-zero downtime.
  • Empower teams: Build automation tools that reduce setup and testing time by 30% or more, accelerating deployment cycles for engineering and field teams.
  • Continuously improve: Pilot AI-assisted diagnostics, predictive testing, and performance profiling to enhance platform stability and developer productivity.
  • Collaborate cross-functionally: Partner with robotics, vision, and infrastructure engineers to ensure the Apera platform integrates seamlessly across the full technology stack.
Desired Qualifications
  • Experience with NVIDIA GPU workflows and high-performance Dockerized compute.
  • Background in camera hardware integration, PoE systems, or network peripherals.
  • Familiarity with SELinux, OverlayFS/SquashFS, or Linux performance profiling.
  • Exposure to AWS infrastructure or distributed system design.
  • Curiosity to explore predictive diagnostics and AI-assisted monitoring.

Apera AI provides AI-powered 3D vision systems for automation and robotics. Its 4D Vision Platform delivers up to 2 Hz vision cycles and sub-millimeter pose accuracy to guide tasks like bin picking, pick-and-place, assembly, packaging, and sorting. The system combines 3D imaging with AI processing and is deployed through engineered solutions via direct sales and partnerships. Its goal is to become a global operations partner for manufacturing and logistics, helping customers achieve high-speed, precise automation and better production efficiency.

Company Size

51-200

Company Stage

N/A

Total Funding

$3.8M

Headquarters

Vancouver, Canada

Founded

2016

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Simplify Jobs

Simplify's Take

What believers are saying

  • Zebra Ventures invested April 30, 2026, validating Apera’s industrial automation strategy.
  • Vue 9.52 added 4X faster AI training and programmable autopilot in 2026.
  • Automate 2026 demos show VuePod reducing custom integration from months to days.

What critics are saying

  • VuePod initially supports only small-to-medium ferrous parts, limiting addressable deployments.
  • Apera still depends on plant-floor integrators and robot OEM ecosystems like ABB.
  • Zebra, Vention, ABB, and FANUC can bundle vision features, compressing Apera’s margins.

What makes Apera AI unique

  • VuePod, launched June 23, 2026, ships as a self-configuring bin-picking product.
  • Apera’s 4D Vision handles pose estimation, path planning, and object recognition.
  • Vue software works robot-agnostically across ABB, FANUC, KUKA, Yaskawa, and others.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Stock Options

Flexible Work Hours

Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

9%

2 year growth

1%
Manufacturing Tomorrow
Jun 23rd, 2026
Announcing VuePod: turnkey bin picking automation that ships as a product, not a project.

Announcing VuePod: turnkey bin picking automation that ships as a product, not a project. -VuePod is a self-contained, self-configuring bin-picking cell built on Apera's proven 4D Vision, and it is available now. -Bin picking that plans and corrects every pick on its own. Apera AI, the vision-guided robotics company behind the industry-trusted 4D Vision, today unveiled VuePod at Automate 2026. The complete bin-picking cell delivers reliable machine tending, without the months of custom design and integration that have defined the industry to date. More headlines. Articles. Automated bin picking has traditionally required a dedicated team, custom design, and machine vision expertise that most integrators lack. VuePod removes the need for in-house bin-picking expertise by planning the entire job: picking strategy, reorientation, and path planning all handled autonomously. That is Agentic Physical AI for the plant floor. "Manufacturers have waited for a drop-in bin-picking cell they can actually install. Not a research project, but a product with a known price, footprint, and performance," said Sina Afrooze, CEO of Apera AI. "VuePod is that product." Built to Run on Day One VuePod ships fully assembled: Apera Vue software, built on Apera's 4D Vision, running on purpose-built hardware. Every detail is engineered around 4D Vision, which closes the feedback loop on robot control, maximizing performance and eliminating surprises. VuePod's performance is demonstrated before it ships, so on-site setup comes down to three steps: Connect: Power, Ethernet, and upstream and downstream PLC signals. Calibrate: Run end-to-end self-calibration at the press of a button. Teach placement: Place a part in the fixture and let VuePod find the placement pose. No robot programming, no gripper tuning, no pick-point teaching for random or structured bins. By design, the launch model supports small-to-medium ferrous metal parts that dominate automotive body shops. A versatile magnetic gripper covers the full range of supported profiles. Wider part support, through additional gripper and actuation configurations, is planned for future releases. "VuePod changes the conversation for our customers," said Calvin Kimura, CTO of Ethos Automation. "Instead of scoping a custom integration, we're deploying a proven product that's been tested, calibrated, and validated before it ever arrives on the plant floor. That's a fundamentally different model, and a much lower-risk path to automation." Automate 2026 attendees can see VuePod running live at Booth 2840. Apply for early access at apera.ai/vuepod. About Apera AI The pioneer in 4D vision for robotic automation, Apera AI makes factories more productive by empowering robots with human-like vision and advanced artificial intelligence, dramatically increasing speed, accuracy, and reliability. Its patented 4D Vision unlocks factory performance, enabling automotive OEMs, Tier 1 suppliers, and other industrial manufacturers to achieve unmatched levels of productivity, quality, and cost savings. Learn more at?www.apera.ai. About Ethos Automation Ethos Automation designs, builds, and integrates custom automated machines, with expertise spanning manufacturing and prototyping. Learn more at ethosautomation.com.

PR Newswire
Jun 23rd, 2026
Apera AI launches VuePod self-configuring bin-picking cell at Automate 2026

Apera AI has unveiled VuePod, a self-contained bin-picking automation cell built on its 4D Vision technology, at Automate 2026. The system ships fully assembled and requires no custom integration or machine vision expertise. VuePod autonomously handles picking strategy, reorientation and path planning. Installation involves three steps: connecting power and signals, running self-calibration, and teaching part placement. No robot programming or pick-point teaching is required. The launch model supports small-to-medium ferrous metal parts common in automotive body shops, using a versatile magnetic gripper. The company plans to expand part support through additional gripper configurations in future releases. VuePod is available now, with early access applications open at apera.ai/vuepod. The product represents a shift from custom integration projects to standardised automation deployment.

Business Wire
Apr 30th, 2026
Zebra Technologies Makes Strategic Investment in Apera AI to Drive Intelligent Automation

Zebra Ventures, the corporate venture capital arm of Zebra Technologies Corporation (NASDAQ: ZBRA), today announced a strategic investment in Apera AI, a pro...

StreetInsider
Apr 29th, 2026
Zebra Technologies invests in Apera AI to advance factory automation with 4D vision technology

Zebra Ventures, the corporate venture capital arm of Zebra Technologies, has made a strategic investment in Apera AI, a provider of 4D Vision technology for industrial robots. The investment amount and valuation were not disclosed. Apera AI's 4D Vision system uses light-resilient stereo vision and AI models to enable robots to handle complex manufacturing tasks in dynamic environments. The technology allows robots to pick clear, shiny or overlapping parts with precision, adapting to changing lighting conditions and complex geometries. The investment supports Zebra's focus on digitising and automating workflows in manufacturing and logistics. Apera AI will use the funding to enhance support for customers requiring fast, scalable deployments in variable manufacturing environments, helping manufacturers reduce engineering time and accelerate return on investment.

PR Newswire
Jan 28th, 2026
Apera AI launches Vue 9.52 with 4X faster AI training and programmable autopilot for robotic vision

Apera AI has released Apera Vue 9.52 and upgraded Apera Forge with 4X faster AI training capabilities. The update introduces Programmable Autopilot for multi-step collision-free path planning, Range Finding for unstructured de-racking, and improved diagnostic tools for robot performance. The company's 4D Vision system enables robots to achieve up to 10X faster vision and greater than 99.9% reliability in object recognition. Vue 9.52 offers enhanced control features including customisable robot pathing, TCP visualisation and robot mechanical error histograms. Apera Forge now completes asset training in as little as six hours, down from 24 hours previously. The simulation platform trains AI neural networks through one million digital cycles using synthetic parts. The Vancouver-based company serves automotive manufacturers and industrial clients seeking autonomous robotic solutions.