About the Role

Come and join our rapidly growing Customer Success Engineering team! As a Solutions Architect, you will help us ensure the success of Redpanda customers. This could range from running workshops with customers to getting them up and running on Redpanda products, and/or helping to architect a full end-to-end data streaming system with Redpanda as the core solution.  

You Will:

• Spend time working with our products to build new partner or technology integrations, use cases, and automation capabilities with our customers
• Be prolific in sharing content and best practices both internally and externally
• Work alongside the Customer Success team to onboard new customers and work with existing customers to drive their success and excellence
• Design and implement production-ready streaming architectures that solve customer business problems and meet their performance, reliability, and scalability requirements
• Partner with Redpanda product management, engineering, and support teams to solve customer challenges and improve customer experience
• Identify and resolve technical barriers to production readiness, performance optimization, and expanded use cases
• Build tooling, automation and other technical assets that can be re-used by multiple customers to improve their Redpanda experience

You Have:

• 7+ years of prior experience in a customer facing role working hands on with distributed systems technologies similar to Redpanda
• Experience with creating blog content and/or documentation on the production use cases and solutions
• Outstanding consulting skills, able to easily context switch between internal teams and customers, from code to whiteboard, from support to engineering
• Comfortable developing/prototyping solutions in many different languages (e.g., Java, Python, Go, and Javascript)
• Experience working with distributed systems such as Kafka, Spark, Hadoop, Cassandra, etc
• Good understanding of security technology (TLS, SASL, Kerberos, OAuth, OIDC etc.)
• Knowledge of different cloud vendors ( AWS, GCP and Azure)
• An Understanding of the fundamentals of high availability and disaster recovery and are able to design HA/DR solutions to meet customer needs and constraints
• Passion for working on complex technical problems and have a strong understanding of modern data infrastructures and streaming technologies
• Strong ability to build relationships with our partners, customers, and open-source users
• Collaborative spirit and enjoy making sure each team gets customer feedback to provide great customer experience
• Flexibility to travel to meet customers, attend events or conferences (up to 25%)
• Experience with Kubernetes or Ansible a plus

U.S. base salary range for this role is $175,000 - $206,000, not including bonus and/or commission. Our salary ranges are determined by role, level, and location. As a remote-first company, we strive to consider each candidate's job-related skills, location, experience, relevant education or training to determine individual base salary. Your talent partner will share more about the specific salary range for your preferred location during the hiring process.

Team Description:

The Data Engineering Team works closely with other teams—neuroscientists, physicists, roboticists, chip designers, pathologists, and mechanical engineers—to build Neuralink’s centralized data aggregation and analysis platform. This data platform collects, organizes, and visualizes a diverse set of data ranging from neural signal recordings and brain histology images to microfabrication manufacturing data. Our team owns projects that drive engineering and experimentation at Neuralink.

We operate like an internal startup – rapidly prototyping and building software that solves problems for the company. If you are obsessed with smooth user experience and love to iterate rapidly on software, you may be a good fit for this role!

 See a talk on our data platform, Neuralake, below:

Job Description and Responsibilities:

As a Software Engineer on the Data Engineering Team, you will have the opportunity to impact engineering and experimentation at Neuralink. You will fully own and drive projects, from interfacing with stakeholders and gathering requirements, to delivering exceptional software. Our ideal candidate has accomplished a record of outstanding achievement in software engineering. Additionally, you will be expected to:

• Build end-to-end data systems to facilitate the easy querying of data
• Build and maintain low-latency pipelines and batch data processing jobs
• Create easy-to-use dashboarding platforms for internal data sharing
• Work directly and iteratively with stakeholders to grow MVPs into mature solutions
• Own the design, development, and testing of software development projects
• Deliver results. You may enjoy thoughtful conversations about problems and perfecting designs, but in the end, you know that what matters is delivering a solution that works
• Be a cross-disciplinary team member. You are excited to work with and learn from software, mechanical, electrical, materials, and biological engineers, as well as neuroscientists. You are comfortable communicating across teams.
• Be resourceful, flexible, and adaptable; no task is too big or too small

Jobs at Neuralink are highly dynamic; depending on your skills and our needs, you may work across a wide range of projects, from interpreting neural data to analyzing histology, developing surgical tools, or creating brand-new BCI approaches. Successful candidates will be highly adaptable, able to deploy core technical and creative skills to tackle a wide range of problems, and have a keen sense of urgency.

Required Qualifications: 

• Most important: Demonstrated leadership in delivering a product or feature, either as a team leader or key contributor
• Evidence of exceptional ability in software engineering
• A bachelor’s degree in Computer Science or equivalent demonstrated work experience
• 1-2 years of experience leading teams and owning the success of a product
• Excellent written and verbal communication skills
• Experience understanding requirements and delivering in an interactive manner
• Experience understanding requirements and delivering iteratively

Preferred Qualifications:

• Experience with building data platforms
• Experience with Python and Rust
• Experience with data analytics systems such as Clickhouse, Delta Lake, Apache Spark, Hadoop, or Snowflake

Note: You do not need to have any of these preferred qualifications in order to be considered for this role! Any exceptional software engineer is encouraged to apply.

The Role 

We are looking for a Staff Software Engineer to join our Fusion engineering team, focused on building systems that ingest, process, and analyze network cloud telemetry such as flow and DNS logs. 

This is a high-impact, hands-on technical leadership role. You will design and scale distributed systems that power real-time detection, while influencing architecture, standards, and engineering practices across teams. 

What You’ll Do 

• Design and build scalable backend systems using Go and Python  

• Develop and evolve high-throughput data pipelines for network flow and DNS telemetry  

• Architect systems for real-time and near real-time data processing  

• Improve performance, scalability, and cost efficiency of platform services  

• Lead design and code reviews, setting a high bar for engineering quality  

• Drive cross-team architecture and platform alignment  

• Partner with product and detection teams to deliver shared platform capabilities  

• Mentor engineers and contribute to a culture of technical excellence and ownership  

What We’re Looking For 

• 8+ years of experience building distributed systems at scale  

• Strong proficiency in Go (Golang) and experience with Python  

• Experience with streaming or data-intensive systems (e.g., Kafka, Kinesis, Flink)  

• Solid understanding of network telemetry (e.g., flow logs, DNS)  

• Experience with cloud platforms (AWS preferred)  

• Strong background in systems design, performance, and reliability  

• Proven ability to lead technical initiatives across teams  

Nice to have: 

• Background in cybersecurity or network detection  

• Experience with real-time analytics systems  

• Expertise in data warehousing technologies (e.g., Elasticsearch, Hadoop, Druid)  

Why Join Vectra 

• Work on high-scale, real-time systems solving complex security challenges  

• Help build a platform that processes massive volumes of network data  

• Collaborate with experienced engineers in a high-impact environment  

• Contribute to technology that directly improves customer security outcomes 

About the Team

Our team is dedicated to advancing the future of autonomous driving technology by developing the metrics and evaluation frameworks that ensure the safety, performance, and readiness of self-driving systems. We work closely with engineering teams to analyze real-world and simulated driving data, enabling data-driven decisions that accelerate the commercialization of autonomous vehicles. Our work directly impacts critical questions such as: ‘How well does the vehicle handle complex intersections? Does it provide a passenger-safe experience during maneuvers? How do we statistically validate readiness for urban deployment?’

About the Role

We are seeking a skilled Data Scientist to join our team and play a pivotal role in defining and evaluating the performance of autonomous vehicle systems. You will design and implement quantitative metrics to assess driving behavior, safety compliance, and passenger comfort. Your work will involve analyzing large datasets, applying statistical methods, and collaborating with cross-functional teams to ensure our self-driving systems meet the highest standards of safety and reliability. This role offers the opportunity to make a significant impact on the future of autonomous driving technology.

What You'll Do

• Analyze data from real-world and simulated autonomous vehicle experiments to evaluate system performance.
• Develop and refine quantitative metrics (both rule-based and ML-driven) to assess driving behavior, safety, and passenger comfort.
• Apply statistical inference and hypothesis testing to validate the sensitivity and reliability of metrics.
• Collaborate with autonomy software, simulation, and safety teams to prioritize improvements based on data-driven insights.
• Build scalable data pipelines to automate metric computation and reporting.
• Review driving logs and participate in test rides to ground analyses in real-world performance.

What You'll Need

• 2+ years of experience in data science, applied statistics, or metrics development.
• Proficiency in Python and SQL for data analysis.
• Strong background in statistical methods (e.g., A/B testing, confidence intervals, regression).
• Experience designing metrics to evaluate complex systems (e.g., robotics, autonomous systems, or large-scale software).
• Ability to communicate technical findings to cross-functional stakeholders.

Nice to Have

• Experience with machine learning (e.g., model evaluation, feature engineering).
• Familiarity with big data tools (Spark, Hadoop, MapReduce).
• Knowledge of traffic regulations or automotive safety standards (e.g., NHTSA).