Software Engineer, Multimodal Backend Systems

Eventual Computing

$130K — $160K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in software engineering with a focus on backend systems
  • Proficiency in at least one core domain: real-time video, robotics, or product UI
  • Experience with WebRTC media pipelines and hardware-accelerated encoding/decoding
  • Strong coding skills in Rust, C++, Python, or Go
  • Familiarity with AWS S3 or GCS for large-scale media storage

Responsibilities

  • Design and build real-time streaming architecture for multi-camera video feeds
  • Integrate and optimize hardware-accelerated video codecs
  • Engineer high-throughput video ingestion and transcoding services
  • Construct specialized storage formats for 3D LiDAR and sensor data
  • Develop high throughput ingestion pipelines for real-time telemetry
  • Coordinate time-sync protocols for sensor data synchronization
  • Architect high-performance web applications for data visualization

Benefits

  • In-person team collaboration in the office 4 times a week
  • Catered lunches and dinners for SF employees
  • Commuter benefits and team building events
  • Health, vision, and dental insurance
  • Flexible PTO policy
  • Latest Apple equipment provided
  • 401k plan with employer matching
Full Job Description
Your Role:

As a Software Engineer working on our Multimodal Backend Systems, you will be responsible for building Eventual's core products and architecture. You will ship features that will be immediately used by our customers and will work with a tight-knit team that values open communication and cross-functional collaboration. We move quickly to solve a wide range of complex technical and product challenges. While we are an experienced team that can provide constant guidance and mentorship, we value engineers who can autonomously scope and solve difficult technical challenges.

Key Responsibilities:

We are seeking engineers with deep expertise in at least one of the following core domains:

1. Real-Time Video Infrastructure
  • Build our Streaming Architecture: Design, build, and optimize real-time WebRTC media pipelines and custom signaling mechanisms to stream multi-camera video feeds from robots to our platform
  • Manage Hardware-Accelerated Video Pipelines: Integrate and tune video codecs (H.264, HEVC/H.265, AV1) leveraging GPU acceleration (NVENC/NVDEC) for hardware decoding and dynamic bitrate adaptation
  • Scale Video Ingest & Storage: Engineer high-throughput video ingestion and distributed transcoding services that compress, index, and write petabyte-scale media corpora to object storage (AWS S3, GCS) for long-term retention and retrieval.


2. Robotics & Physical AI Telemetry
  • Build Spatial Data Pipelines: Construct specialized storage formats, spatial indexes, and processing workflows to ingest, align, and query dense 3D LiDAR point clouds, depth maps, and multi-camera spatial datasets.
  • Stream High-Frequency Telemetry at Scale: Develop high throughput ingestion pipelines capable of capturing, parsing, and storing real-time sensor streams and high-frequency robot state telemetry across our customers' fleets.
  • Ensure Sensor-to-Video Synchronization: Coordinate time-sync protocols (PTP/NTP) across disparate sensor feeds to temporally align LiDAR point clouds, IMU telemetry, and video frames into unified data structures for downstream consumption.


3. Product & Multimedia Frontend
  • Develop Data-Dense User Interfaces: Architect intuitive, high-performance web applications using React, TypeScript, and modern state management to handle continuous streams of data.
  • Visualize 3D Spatial & Video Streams: Build custom frontends to render 3D LiDAR point clouds, spatial bounding boxes, and multi-camera video feeds.
  • Build Agentic/AI-Native Product Workflows: Create agentic data-exploration, curation and search tools that empower robotics operators and AI researchers to review, annotate, and analyze complex physical AI datasets.


What we look for:

We are looking for strong engineers who are problem-solvers at heart-combining excellent coding and architectural fundamentals in languages like Rust, C++, Python, or Go with a drive to reach for lower-level primitives when performance and efficiency demand it.

Perks & Benefits
  • In-person tight knit team with 4x a week in office
  • Competitive comp and startup equity
  • Catered lunches and dinners for SF employees
  • Commuter benefit
  • Team building events & poker nights
  • Health, vision, and dental coverage
  • Flexible PTO
  • Latest Apple equipment
  • 401k plan with match!

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