Senior Integration Engineer - Algorithms

ZipRecruiter; Mountain View (CA); Remote; USD 145,000 - 195,000; Full time

Job summary

A leading company in roadway technology is seeking an experienced Integration Engineer to design and maintain services that incorporate real-time data processing. The role requires expertise in Python and C++, with a focus on algorithms for estimation and control. Join a team innovating the future of roadways with advanced technologies. This fully remote position offers a competitive salary and comprehensive benefits.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k)

Parental Leave

Fertility Benefits

Wellness Perks

PTO

Company Lunches

Qualifications

• 5+ years of professional experience in software, platform, or integration engineering.
• Experience with cloud platforms (AWS, Azure, GCP) and core infrastructure services.

Responsibilities

• Design, build, and maintain robust services and integration solutions.
• Collaborate with cross-functional teams to develop systems for data processing.

Skills

Python

C++

Problem-solving

Analytical

Collaboration

Education

Bachelor's Degree in Computer Science

Tools

Docker

Kubernetes

Git

GitHub

Jira

Confluence

Job description

Job Description

We believe the future of our nation's roadways is automated, safer, more accessible and enables more efficient movement of people and goods. While billions have been invested into developing vehicle technologies – including advanced driver assistance systems (ADAS) and autonomous driving solutions – a small fraction has been spent on developing infrastructure to support and enhance roadways. At Cavnue, we are developing and integrating technologies that will power the world's most technologically advanced roadways ("cavnues"). Our approach is founded in creating a digital model of the roadway that analyzes and optimizes road conditions in real-time, sharing actionable alerts and providing proactive guidance to vehicles and drivers.

Join us in innovating the roads of the future. Cavnue, which in April 2022 announced the closing of its Series A at $130M, is bridging vehicle technology and road infrastructure to rapidly deliver safer roads today while accelerating the adoption of connected and automated vehicles (CAVs). With ongoing deployments in Michigan and Texas, Cavnue is the only company in North America that uses Smart Road technology to improve performance for road operators and deliver a safer, more efficient experience for all road users while preparing for a future with more CAVs. Our mission is to set the new standard for road performance and safety.

Role Overview

We seek an experienced Integration Engineer with a strong foundation in systems engineering and specialized expertise in classical algorithms for estimation and control, such as Kalman filtering. You will be responsible for designing, building, and maintaining robust services and integration solutions that incorporate real-time data processing and state estimation from various sensor inputs. This fully remote role involves collaborating with cross-functional teams to develop and deploy systems where accurate estimation and prediction based on classical methods are critical. Join us in building the foundational systems that power intelligent applications through sophisticated data interpretation.

Core Responsibilities:

• Expert with Python and using technologies such as Postgres.
• Drive production of high-quality code through standards adoption, lifecycle testing, and continuous monitoring for opportunities to improve.
• Engineer data structures, databases, and data lakes for optimal performance and reactivity in a production environment.
• Optimize algorithm implementations for computational efficiency, latency, and resource constraints, potentially targeting specific hardware or embedded systems.
• Integrate classical algorithm modules (potentially developed in C++ or using specialized libraries) seamlessly into the broader platform architecture and services.
• Build and manage scalable data ingestion, storage (e.g., data lakes), and processing pipelines optimized for ML training data and feature engineering.
• Implement comprehensive monitoring, logging, and alerting for platform health, data quality, and algorithm performance.
• Collaborate closely with hardware engineers, software developers, and researchers on sensor selection, system architecture, calibration procedures, and resolving integration challenges.
• Maintain clear documentation for algorithms, system designs, integration points, and operational procedures.
• Establish low-latency/high throughput APIs on streaming packets of data from the cloud and edge.
• Contribute to a healthy and positive engineering culture.

Nice to Have Responsibilities:

• Experience working with Python, C++, Go, and established libraries like Redis, BigQuery, Pulsar, Flink; and development environments such as K8s, NVIDIA Jetson.
• Experience with technologies like Apache Spark or Kafka.
• Design, implement, and optimize algorithms for real-time state estimation and sensor fusion using classical techniques (e.g., LKF, EKF, UKF, Particle Filters, Bayesian estimation).

Requirements:

• 5+ years of professional experience in software, platform, or integration engineering.
• Bachelor's Degree in Computer Science, Engineering, or equivalent experience.
• Proficiency in Python and C++ programming.
• Experience with data analysis, visualization, and simulation tools (e.g., NumPy, SciPy, Pandas, MATLAB).
• Experience with cloud platforms (AWS, Azure, GCP) and core infrastructure services.
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Excellent problem-solving, analytical, and troubleshooting skills.
• Strong communication and collaboration skills.
• Experience with Git, GitHub, Jira, Confluence, or similar tools.
• Comfortable working in a Linux environment.
• History of building software in collaborative environments.
• Curiosity and initiative to understand complex systems and solve problems independently.

Bonus:

• Experience in early-stage startups.
• Development of complex build processes and developer workflows.
• Experience with Infrastructure as Code (Terraform, Ansible) and CI/CD pipelines.

Salary Range: $145,000 - $195,000 (Remote). Additional compensation may include equity and/or a discretionary annual incentive. Benefits include medical, dental, vision, life insurance, 401(k), parental leave, fertility benefits, wellness perks, PTO, company lunches, learning opportunities, and top-tier equipment.

We value diversity and are open to candidates outside our geographic footprint. Some roles may require in-office presence. Cavnue is an Equal Opportunity Employer and prohibits discrimination or harassment of any kind.