***This job requires active TS/SCI clearance with a CI Polygraph.  Please apply only if you have an active TS/SCI clearance with a CI Polygraph. ***

North Point Technology is hiring a Linux Administrator SME to support mission-critical environments across our Centralized SuperComputing Facility (CSCF) and other high-impact programs. This role is ideal for a senior Linux expert who can troubleshoot deep system issues, automate administration at scale, and strengthen secure, reliable platform operations across complex environments.

Responsibilities:

Administer, maintain, and harden Linux systems supporting HPC and other mission-focused programs in heterogeneous, multi-platform environments. Troubleshoot complex operating system and kernel-level issues using source code analysis, system logs, and low-level diagnostic tools. Manage patching and system lifecycle activities, including repository administration and custom kernel builds to support new functionality and security requirements. Automate system configuration, maintenance, and patch management using enterprise tools and repeatable workflows. Support and integrate identity and access management services, including directory services and token-based authentication. Partner with support teams to improve system stability, security, and operational efficiency across critical Linux environments.

Required Qualifications:

• Bachelor’s degree in Computer Science, AIS, or related field
• 10+ years of relevant professional experience
• At least 5 years of experience developing or supporting system software in heterogeneous, multi-platform environments
• Strong scripting skills in Bourne/Bash and Expect
• Experience debugging Linux kernel issues using source code analysis, system logs, crash, systemtap, or similar tools
• Experience managing Satellite repositories for patching and custom kernel builds
• Experience automating system configuration and maintenance with Ansible and Satellite Server
• Understanding of identity management systems, including LDAP and token-based authentication
• Strong problem-solving skills and the ability to work independently in complex technical environments

Preferred Qualifications:

• Experience supporting High Performance Computing environments
• Experience administering large-scale Linux infrastructure in secure or mission-driven settings
• Experience improving operational workflows through automation and standardization

The Role

The Data Center Manager owns end‑to‑end reliability, safety, capacity, and performance for one of our flagship U.S. sites. You’ll lead a high‑performing, multi‑disciplinary operations team and partner tightly with Design, Build, Network, Security, Capacity Planning, and the DC orgs to deliver world‑class availability and cost efficiency.

Your responsibilities will include:

• Lead day-to-day data center operations in a 24/7 mission-critical environment
• Manage and develop a team of 15–20 Data Center Technicians
• Oversee installation, break/fix activities, and field change orders
• Ensure timely delivery of tasks aligned with KPIs and operational milestones
• Monitor infrastructure performance; drive troubleshooting, incident response, and root cause analysis
• Own incident management, including resolution and post-incident reviews
• Plan and execute capacity expansion (rack, block, and site growth)
• Maintain physical security, access controls, and compliance with standards
• Partner cross-functionally (Engineering, Build, Site Selection, Operations)
• Manage vendors and contractors to deliver high-quality, cost-effective solutions
• Drive continuous improvement across processes, efficiency, and reliability
• Support hiring and team scaling efforts

We expect you to have:

• 5+ years of experience in data center operations; 2+ years in a leadership role
• Strong knowledge of servers, storage, networking, and data center infrastructure
• Experience with power systems (UPS, backup), cooling, and physical infrastructure
• Proficiency in Linux environments
• Experience with incident management and operational processes in high-availability environments
• Strong project management experience (budgeting, vendor management, resource planning)
• Understanding of security, compliance, and disaster recovery best practices
• Ability to work cross-functionally and drive execution across teams
• Strong leadership, communication, and problem-solving skills
• Ability to lift up to 50 lbs and support on-site operational needs
• Willingness to participate in a 24/7 on-call rotation
• Bachelor’s degree in IT, Computer Science, or related field (or equivalent experience)

It would be an added bonus if you have:

• Familiarity with ITIL / ITSM processes
• Experience with GPU clusters, HPC, or cloud infrastructure
• Understanding of data center network traffic patterns (east-west and north-south)
• Experience with data center management and monitoring tools

Key employee benefits:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan: up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: up to $85/month for mobile and internet.
• Disability & life insurance: company-paid short-term, long-term and life insurance coverage.

Compensation

Join Nebius Today!

The role 

The Data Center Technician Manager leads hands-on technical teams responsible for cabling, hardware installation, and day-to-day data center operations. This role balances people leadership, technical execution, and operational rigor in a 24/7 mission-critical environment.

Your responsibilities will include: 

• Lead and mentor a team of data center technicians supporting fiber, copper cabling, racking, stacking, and infrastructure installs.
• Oversee installation, maintenance, and troubleshooting of low-voltage cabling and communications infrastructure.
• Ensure high-quality execution of fiber and copper terminations, testing, and remediation of complex issues.
• Own and enforce MOP/CMOP processes, change control, and operational best practices.
• Manage work through ticketing and infrastructure management systems, ensuring timely and accurate completion.
• Maintain accurate documentation, port maps, and inventory, supporting audits and operational readiness.
• Drive incident response and escalation for technical issues, ensuring SLA adherence and rapid resolution.
• Lead the use of specialized test equipment (e.g., DSX, OTDR), including test planning and results validation.
• Enforce safety, compliance, and quality standards, promoting a culture of accountability and operational excellence.
• Partner cross-functionally with operations, engineering, and project teams to support deployments, expansions, and upgrades.

We expect you to have: 

• Associate degree or equivalent hands-on experience in IT, networking, or technical services.
• 5+ years of data center or infrastructure experience, including cabling and hardware deployments.
• 2+ years of experience leading technical teams in a mission-critical environment.
• Strong working knowledge of structured cabling standards (BICSI, ANSI/TIA, NEC).
• Experience with fiber optics, copper cabling, servers, networking equipment, and power distribution basics.
• Ability to participate in on-call rotations and perform physical tasks (lifting up to 50 lbs).

It will be an added bonus if you have: 

• Bachelor’s degree in IT, Engineering, or related field.
• Industry certifications (e.g., BICSI, CDCP, CompTIA, ITIL).
• Experience in large-scale data center builds or migrations.
• Familiarity with Linux, scripting (Python/Bash), and data center management tools.
• Strong organizational, communication, and customer-facing skills.

Key employee benefits:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan: up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: up to $85/month for mobile and internet.
• Disability & life insurance: company-paid short-term, long-term and life insurance coverage.

Compensation

We offer competitive salaries ranging from $115K to $225K OTE, which includes base salary and bonus.

Join Nebius Today!

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

Test Specialists support the business by working with Operations, Testing, Autonomy, Mapping, as well as System and Vehicle Integration Engineers to execute on-vehicle tests, refine test and verification plans, identify and resolve issues, and provide test results. They communicate between teams and help with improving vehicle testing outcomes. 

This role will focus on executing on-vehicle tests, reporting out test results, and improving overall testing efficiency by identifying gaps and recommending process refinements. While efficiency is crucial, nothing comes before safety, and the Test Specialists is a key team member to uphold this responsibility.

Essential Duties:

• Review simulation test scenarios to validate predicted autonomous vehicle behavior at a high level.
• Provide field support for road operations
• Support global mapping efforts
• Asset tracking of drives and ingesting data
• Support data operations and collection 
• Be fluent in software applications such as Confluence, Jira & GSuite
• Support smart city infrastructure for internal business needs
• Conduct field operations to support validation
• Execute safe, repeatable test cases for extended periods and document results to accurately verify and analyze system performance and data.
• Provide accurate, actionable, and detailed reports on the system/software state by testing and troubleshooting issues.
• Document technical notes,  reproduce issues, flag real-time autonomous vehicle events, and support triage and resolution processes.
• Contribute to the test execution process and work efficiency improvements to achieve work at scale.
• Work cross-functionally with various teams (Engineering, Operations, Mapping, etc. ) to communicate knowledge of new features or changes and ensure that testing is completed in a timely manner.
• Able to travel domestically
• Additional duties assigned
  
  

Qualifications:

• Enthusiasm for the AV industry as well as safety/mobility
• Experience in the automotive industry or a fleet 
• Basic understanding of Linux and scripting languages
• Exemplary organizational and time management skills
• Skilled in Microsoft/G-Suite applications including PowerPoint/Slides, Excel/Sheets, Word/Doc
• Valid driver's license required
• Successful completion of relevant eLearning content related to vehicle platforms
• Basic understanding of robotics systems, including sensors, actuators, mechanical, and software systems.
• Ability to think logically and remove bias from evaluation of problems - demonstrated problem-solving skills.
• Ability to properly follow specific instructions and learn tasks quickly - detailed-oriented mindset focused on safety.
• Strong communication and interpersonal skills.
• Flexible and creative thinking.
• Ability to work AM/PM hours as well as weekends depending on testing needs
  
  

Preferred Qualifications (not required):

• Associate or BS in Engineering/Physics/Science or relevant field preferred
• Demonstrated experience with working knowledge in a Linux environment
• Data Analysis experience
• Experience with testing of vehicle subsystems or features (esp. L2-L5 systems)
• Experience in using issue tracking software or tools is preferred (esp. Atlassian Confluence, Jira, Bitbucket)
• Experience in technical writing, technical drawings, and documentation of mechatronics systems is preferred
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Working Environment:

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job.  Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the team member is regularly exposed to outside weather conditions, road conditions, and pedestrian traffic.  The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and airborne particles.  The noise level in the environment is low to moderate.

Motional AD LLC is an Equal Employment Opportunity employer, and we welcome all qualified applicants.  All applicants will receive impartial consideration regarding race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation, or another legally protected status.  Motional AD LLC is a Drug-free workplace.

This role is based in our Pittsburgh office and requires in-office days each week.

What we are looking for

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.

We're searching for a Staff Client Platform Engineer to join our Enterprise Site Reliability (SRE) team to lead the management of our enterprise Windows, Mac, and Ubuntu clients. The team is responsible for designing, implementing, and maintaining scalable and secure client device infrastructure. They also automate device deployment, configuration, and management processes.

This role will contribute to delivering the benefits of self-driving by leading the development of tailored client device solutions that address Aurora-wide and team-specific requirements for software and hardware development and manufacturing.

In this role you will

• Guide the approach and execution of the Client Platform Engineering Team
• Plan, design, and implement scalable solutions to manage Aurora's physical and virtual client platforms (Macs, Windows, Ubuntu) to ensure they receive security patches, configuration, and software package updates
• Partner with IT Support, InfoSec, and Developer Experience on strategy and implementation of client platform management solutions
• Handle escalations from IT Support, with an emphasis on mentoring and empowering IT Support to address similar problems
• Participate in the Enterprise SRE 24/7 on-call rotation

Required qualifications

• Experience of at least 8 years in Client Platform engineering and at least 3 years in leading engineering solutions (design to implementation) at scale.
• Expertise with client device lifecycle management, including experience across multiple client operating systems and various hardware platforms.
• Experience with MacOS, Windows, and Linux system administration.
• Experience deploying configuration management tools such as Intune, Kandji, Puppet, Ansible, or Chef.
• Experience with automation and tool development, preferably using Powershell, Go, or Python.
• Strong change management skills, including rollout planning and communication, and collaborating with stakeholders.
• Understanding of client endpoint security concepts and experience applying security hardening to client devices, such as CIS Benchmarks.
• Outstanding written and verbal communication skills that drive executional impact at scale. 
• Experience with automating testing for imaging, provisioning, and configuration management.

Desirable qualifications

• Experience working within cloud environments such as AWS, GCP, or Azure.
• Experience in environments deploying containerized workflows, using tools such as Docker or Kubernetes.
• Familiarity with SRE concepts such as SLIs, SLOs, SLAs, incident response, and best practices and partnering with teams on them.
• Experience with Infrastructure as Code (IaC) tools such as Terraform, Pulumi, or CloudFormation

The base salary range for this position is  $163,000 - $236,500 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

Mission Summary:

Motional’s onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional’s next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional’s current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers.

What You'll Be Doing:

• Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles.
• Design test harnesses for embedded software components and full systems
• Provide technical mentorship to engineers.
• Proactively work with cross-functional engineering teams to solve complex and interesting problems.
  
  

What We're Looking For:

• Experience with creating detailed requirements from use cases.
• Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution.
• Experience writing software for embedded platforms in C and C++.
• Experience with Test-Driven Development (TDD).
• Experience working on embedded Linux / RTOSs.
• Experience working with networks (Ethernet, CAN etc.) and the common networking protocols.
• Experience with debugging on embedded platforms.
• Experience writing software in Python and experience doing automation with shell scripting.
• Experience working with ARM Cortex MCUs or Microprocessors.
  
  

Bonus Points (not required):

• Experience working with large data pipelines, and platforms that require deterministic execution.
• Experience using inter-system communication protocols such as I2C and SPI
• Experience deploying Machine Learning models.
• Experience working with GPUs.
• Experience working directly with the Linux kernel or Device Drivers.
• Experience with Simulation and Code Generation, and knowing when their use is appropriate.
• Experience working with Bazel.
• Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs.
• Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. 
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

• Lead the design, development, and integration of complex electrical and mechanical systems for autonomous vehicles, ensuring they meet rigorous performance, safety, and reliability standards.
• Architect, analyze, and optimize vehicle electrical and networking systems (Automotive Ethernet, CAN) to enhance data throughput, fault tolerance, and system scalability.
• Spearhead the diagnosis and resolution of complex, intermittent system failures using advanced debugging tools (e.g., high-speed oscilloscopes, spectrum analyzers, logic analyzers) and sophisticated PC-based diagnostic and simulation software.
• Mentor junior engineers on best practices for system triage, troubleshooting, repair, and validation.
• Develop and execute comprehensive integration test plans for new vehicle features and subsystems, coordinating efforts across multiple engineering disciplines and external partners.
• Author and maintain high-level technical documentation for system architectures, design requirements, and validation procedures.
  
  

What we're looking for:

• Expert-level knowledge of vehicle electrical and networking systems (CAN, LIN, Ethernet, etc.) with a deep understanding of communication protocols and their limitations.
• Proven track record of success in root-cause analysis, systematic issue isolation, and resolution for complex hardware-software integration problems.
• Extensive experience with advanced Linux terminal troubleshooting, including scripting and low-level system diagnostics.
• Deep understanding of computer system architecture, including embedded systems, processing units, and networking hardware.
• Demonstrated ability to author and maintain highly technical documentation, including design specifications, test reports, and system validation plans.
• Exceptional problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.
• Excellent communication and interpersonal skills to effectively lead cross-functional teams and collaborate with external suppliers and partners.
• Extensive experience with various sensors, including cameras, LiDAR, and RADAR, and an understanding of their integration challenges.
• Master's degree or equivalent in Electrical, Mechanical, or Systems Engineering, or 10+ years of relevant experience in a senior-level role.
  
  

Preferred, but not required:

• Professional proficiency in programming languages such as Python or C++ for scripting, automation, and data analysis.
• Experience with advanced issue-tracking and project management platforms (e.g., JIRA, Polarion, Confluence), including dashboard creation and workflow optimization.
• Working knowledge of functional safety standards (e.g., ISO 26262) and their application in autonomous systems.

This role is hybrid from our Pittsburgh office. It requires in-office days each week.

THE ROLE:

Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team. 

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Everpure solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Everpure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Previous experience with Linux, NFS file systems and Linux distributed network environment
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Familiarity with AWS, Azure, GCP, containers, k8s and microservices architectures a plus
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable
• Excellent verbal and written interpersonal skills

#LI-REMOTE

#LI-JL4

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

Our Vehicle Platform Components team is seeking a highly motivated Senior Engineer to assume ownership of the development and integration of the autonomous vehicle Electronic Controllers (ECUs) and Data Loggers. This position serves as the primary technical owner for the development, validation, and production readiness of our ECUs. The incumbent will ensure that components adhere to all functional requirements and quality standards, and will support component delivery to satisfy all performance, cost, and timing objectives.

Key Responsibilities:

• Develop and manage component-level technical requirements throughout the program development lifecycle.
• Lead technical collaboration with component suppliers, serving as the internal technical expert for the component.
• Ensure all components comply with specifications for performance KPIs, safety, and reliability.
• Guarantee that components adhere to relevant industry standards and regulatory requirements.
• Collaborate with Design Release Engineers to ensure components meet the overall product's program targets and goals.
• Collaborate with Systems Engineers to confirm that component requirements satisfy system needs and that selected components integrate seamlessly into the overall system architecture.
• Responsible for validating component functionality through hands-on testing conducted at both the bench and vehicle levels.
• Lead issue resolution with suppliers and internal cross-functional teams in a timely and effective manner.
  
  

What We’re Looking For:

• 7+ years of experience in automotive component design, development and integration.
• Bachelor’s or Master’s degree in Electrical Engineering, Electronics Technology or a related field.
• Demonstrated expertise in the design, development, and integration of complex Electronic Control Units (ECUs).
• Proven experience utilizing widely adopted Microcontrollers (MCUs) and Systems-on-Chips (SoCs) within automotive ECU applications.
• Experience with automotive communication protocols, including CAN, CAN-FD, and Automotive Ethernet (10GBASE-T1).
• Experience with high-bandwidth data acquisition systems, including proficiency in PCIe switching and direct storage technologies.
• Familiarity with NVIDIA DRIVE AGX Orin / Thor architecture and developer kits.
• Proficiency in Linux, including the ability to develop scripts (e.g., Python, C++, bash) for testing and validation, and layer 2 networking concepts.
• Experience with lab equipment, including power supplies, oscilloscopes, multimeters, and function generators.
• Proficiency in automotive diagnostic tools, including Vector tools (CANoe, CANape, vFlash) and DoCAN/DoIP.
• Experience with automotive environmental, EMI, and shock/vibration testing.
• Experience in root-cause analysis, with a focus on utilizing AV / ADAS vehicle logs to pinpoint scenarios that negatively affect autonomous system performance.
• Familiarity with automotive components validation documentation and procedures, such as DVP&R, DFMEA and PFMEA.
• Experience with requirement compliance, issue-tracking and task management software platforms such as JIRA, Polarion, Confluence, etc.
• Demonstrated experience collaborating with an automotive Tier-1 supplier on the technical development of electronic components.
• Understanding of vehicle integration, packaging, and functional safety standards (ISO 26262)
  
  

Bonus Points:

• Prior experience in an autonomous vehicle or robotics company.
• Prior experience of ECU design for autonomous vehicles.
  
  

This role is based in our Pittsburgh office and requires in-office days each week.

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Staff Software Engineer to join Aurora’s Vehicle Connectivity team. The Vehicle Connectivity team is responsible for Aurora’s self-driving vehicle connectivity stack for reliable, observable, and secure vehicle-to-cloud communications.

In this role, you will

• Define vehicle connectivity and communication architecture
• Address connectivity-specific concerns for vehicle runtime, e.g. networking, performance, and observability
• Perform connectivity bring up of new vehicle platforms
• Work with autonomy engineers to meet performance and efficiency requirements for data collection and offload
• Provide engineering support for field testing and fleet operations

Required Qualifications

• BS/MS/PhD in Computer Science or related field, or equivalent industry experience
• Strong programming skills in C++
• Ability to work across multiple programming languages and paradigms
• Experience working with networking protocols, such as TCP, UDP, gRPC, HTTP
• A passion for writing robust, intuitive, high-performance code, and being pragmatic about it
• Experience with Linux network configuration and troubleshooting
• Ability to navigate and work effectively in large codebases
• Strong verbal and written communication skills 
• Work autonomously, but still be a great team player with colleagues across time-zones

Desirable Qualifications 

• Experience with performance evaluation and optimization. 
• Network health monitoring frameworks
• Strong programming skills in GoLang
• Experience with safety critical systems
• Good understanding of ethernet switching and interaction between OSI layers 1, 2, 3 and 4

The base range for this position is $171,000 - $273,000.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-td-1

 #Mid-Senior 

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

Our Vehicle Platform Components team is seeking a highly motivated Senior Engineer to assume ownership of the development and integration of the autonomous vehicle’s vision sensors. This position serves as the primary technical owner for the development, validation, and production readiness of our vision sensors. The incumbent will ensure that sensors adhere to all functional requirements and quality standards, and will support sensor delivery to satisfy all performance, cost, and timing objectives.

Key Responsibilities:

• Develop and manage component-level technical requirements throughout the program development lifecycle.
• Lead technical collaboration with component suppliers, serving as the internal technical expert for the component.
• Ensure all components comply with specifications for performance KPIs, safety, and reliability.
• Guarantee that components adhere to relevant industry standards and regulatory requirements.
• Collaborate with Design Release Engineers to ensure components meet the overall product's program targets and goals.
• Collaborate with Systems Engineers to confirm that component requirements satisfy system needs and that selected components integrate seamlessly into the overall system architecture.
• Responsible for validating component functionality through hands-on testing conducted at both the bench and vehicle levels.
• Lead issue resolution with suppliers and internal cross-functional teams in a timely and effective manner.

What We’re Looking For:

• 7+ years of experience in automotive component design, development and integration.
• Bachelor’s or Master’s degree in Electrical Engineering, Electronics Technology, Optoelectronics (or a related field).
• Demonstrated knowledge of optical systems, encompassing the construction and design of camera components.
• Experience with machine vision camera design, development and integration.
• Understanding of high-throughput Image Signal Processing (ISP) pipeline design and implementation.
• Experience with automotive communication protocols including CAN, CAN-FD, Ethernet, GMSL, and FPD-Link.
• Proficiency in Linux, including the ability to develop scripts (e.g., Python, C++) for testing, validation, and interaction with camera hardware.
• Familiarity with NVIDIA DRIVE AGX Orin / Thor architecture and developer kits.
• Experience with lab equipment, including power supplies, oscilloscopes, multimeters, and function generators.
• Proficiency in automotive diagnostic tools, including Vector tools (CANoe, CANape, vFlash).
• Experience with automotive environmental, EMI, and shock/vibration testing.
• Experience in root-cause analysis, with a focus on utilizing AV / ADAS vehicle logs to pinpoint sensor impairments that negatively affect autonomous system performance.
• Familiarity with automotive components validation documentation and procedures, such as DVP&R, DFMEA and PFMEA.
• Experience with requirement compliance, issue-tracking and task management software platforms such as JIRA, Polarion, Confluence, etc.
• Demonstrated experience collaborating with an automotive Tier-1 supplier on the technical development of electronic components.
• Understanding of vehicle integration, packaging, and functional safety standards (ISO 26262)
  
  

Bonus Points:

• Prior experience in automotive vision sensor hardware and software integration or ADAS technologies.
• Prior experience in an autonomous vehicle or robotics company.

Mission Summary:

We are looking for a Senior Software Engineer to develop and deliver automated workflows, intelligent tooling and insightful analytics that enables our autonomy stack to scale. You will play a pivotal role in transforming massive amounts of data into actionable engineering insights, ensuring our software releases are robust, validated, and ready for the road.

What you'll be doing:

• Develop Intelligent Tooling: You will design and implement sophisticated automation to categorize and explain complex system behaviors by leveraging advanced data modeling to accelerate solutions.
• Drive Analytics: You’ll lead the creation of high-impact performance visualization tools that translate raw metrics into clear, actionable insights regarding on-road performance.
• Streamline Release Engineering: Your expertise will help the team evolve our release processes, moving toward a highly automated deployment framework that maintains quality while improving efficiency
• Advance Simulation Capabilities: You’ll have the opportunity to enhance our virtual testing ecosystems, ensuring our simulation suites provide the high fidelity feedback necessary to properly understand the release.
• Collaborate at Scale: Work within a large, multi-disciplinary codebase to ensure seamless integration between planning, motion, and controls teams.
  
  

What we're looking for:

• Extensive experience building production-grade applications, tools, and pipelines using Python.
• Comfortable navigating and contributing to large, complex codebases where modularity and documentation are key.
• Proven track record of delivering software in a production environment, including familiarity with CI/CD, version control at scale, and rigorous release cycles.
• Curious about data and possess the ability to extract meaningful patterns from noisy, high-dimensional datasets.
• Passionate about a driverless future and understand the high stakes of deploying software that interacts with the physical world.
  
  

Bonus Points(not required): 

• Experience with C++ in a Linux environment.
• Familiarity with Machine Learning frameworks or Large Language Model (LLM) integration.
• Background in robotics middleware (ROS, DDS) or autonomous systems.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

As a Technical Lead Manager at Motional, you'll lead a team responsible for the development and delivery of core trajectory planning algorithms via numerical optimization for autonomous vehicles. In this role, you will be at the forefront of shaping the motion planning and control systems that enable our fleet to navigate complex environments safely, efficiently, and comfortably. As a key leader, you will drive the development and continuous performance improvements of cutting-edge trajectory generation algorithms, collaborate with cross-functional teams (Planning, Perception, Prediction, Localization, ML Products, and Systems Engineering), and mentor a talented group of highly skilled engineers to deliver state-of-the-art solutions. 

If you are passionate about autonomous driving and being part of our commercial launch this year, thrive on solving challenging real-world problems, and eager to make a significant impact in a rapidly evolving field, we want to hear from you!

What you'll do:

• Lead and scale a high-impact trajectory planning team, defining its technical vision, execution strategy, and long-term organizational role within the Motion organization.
• Drive commercial launch readiness for trajectory planning by delivering on-road driving behavior improvements (safety, comfort, and assertiveness) across the fleet through feature expansion, continuous performance improvements, and innovation through state-of-the art methods.
• Apply a rigorous, metrics-driven framework to quantify and improve on-road performance. Champion leveraging existing training and evaluation pipelines to ensure scalable, production-ready delivery.
• Manage the computational efficiency and real-time performance of trajectory generation algorithms, ensuring latency budget compliance.
• Lead the rapid triage and root-cause analysis (RCA) of critical fleet incidents, translating real-world edge cases into immediate algorithmic refinements and validation sets.
• Oversee the successful execution of complex, multi-team initiatives, ensuring technical alignment from design through deployment while maintaining a rigorous standard for testing and validation to meet the high safety bars required for our commercial launch.
• Coordinate with peer leads to provide technical leadership, making consequential decisions on architectural direction, strategic investments, tactical execution, and technical debt reduction.Ensure technical excellence through rigorous design and code reviews while actively facilitating the professional growth and mentorship of your engineering team. Set and drive ambitious goals that challenge the team to deliver industry-leading trajectory planning solutions.
• Define and negotiate quarterly and annual technical roadmaps aligned with company-level autonomy milestones in coordinate with project managers and execute plans on schedule.
  
  

What we're looking for:

• Proven Engineering Leadership: 2+ years of experience managing high-performing development teams, with a demonstrable track record of inspiring, mentoring, and coaching engineers and driving measurable productivity gains.
• Ship-to-Production Mindset: Experience leading the delivery of production-quality algorithms in a high-stakes environment (Autonomous Vehicles, Robotics, or Aerospace). You know what it takes to move from a prototype to a commercially viable product.
• Strategic Vision: Ability to look beyond the immediate deliverables to define and defend a balanced technical roadmap that balances long-term architectural health with the urgent needs of a 2026 commercial launch.
• Technical Domain Expertise: Deep theoretical and practical expertise in numerical optimization and optimal control. You should be highly proficient in areas such as Model Predictive Control, nonlinear programming, and convex optimization applied to real-time trajectory generation.
• Advanced Motion Planning: Significant experience solving motion planning problems under uncertainty, including interaction-aware planning with dynamic agents and complex environmental constraints. Experience with Machine Learning based approaches is a significant plus.
• Full-Stack Robotics Context: Strong intuition for the entire robotics stack. You understand how upstream (Perception, Prediction) and downstream (Control, Actuation) systems impact trajectory feasibility and fleet safety.
• Production-Grade Software Development: Expertise in Modern C++ development within a Linux environment, with a focus on writing high-performance, real-time, and safety-critical code.
• Tooling Proficiency: Fluency in Python for rapid prototyping, data analysis, and visualization. Experience applying AI-augmented development workflows to large-scale Modern C++ codebases (e.g., agentic tools for multi-file refactoring, automated test generation, semantic code navigation, and code review acceleration) is strongly preferred. Experience with SQL or big-data frameworks for fleet-scale performance analysis is a significant plus.
• Influence & Clarity: Exceptional communication skills, with the ability to translate complex mathematical concepts into actionable plans for cross-functional stakeholders and executive leadership.
• Educational Foundation: Master’s or PhD in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related quantitative field.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Motional’s global headquarters are located at 100 Northern Avenue in Boston, MA. Nestled in the bustling Seaport district with sweeping views of Boston Harbor and downtown Boston, the office is located close to major transit lines and a quick walk to various restaurants and popular attractions.

Mission Summary:

Motional’s CORE team is responsible for our vehicle’s Compute and Onboard Runtime Environment. We are creating a world leading AI compute platform for autonomous vehicles. This is the system that executes the software and neural networks that make our vehicles autonomous. 

The Next-Gen Technologies team is part of CORE. We work at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional’s on-board vehicle architecture. If you are a software engineer and love the idea of working on embedded AI hardware and software systems to create the next generation of autonomous vehicles, we would love to talk with you. 

What You’ll Be Doing:

As a senior engineer in the Next-Gen Technologies team, you will help us improve the compute performance of our current generation and next-generation autonomous driving systems through participating in full lifecycle development from idea to proofs-of-concept to production. 

Specifically, you will:

• Focus deeply on ML model deployment, integration of multiple ML models, and ML model optimization on embedded compute platforms.
• Dive deep into the full ML software stack. Analyze ML workload performance on a variety of hardware processors, optimize ML models, improve ML software, and help us continually improve our stack through the application of efficient and effective ML approaches. 
• Design, develop, test, integrate, and optimize software and tools on a variety of ML compute architectures.
• Collaborate with deep learning experts in perception, prediction, and other autonomous driving application areas to enable algorithms on GPU, NPU, and other ML accelerator architectures.
• Optimize the utilization of GPU/NPU resources and sharing of GPU/NPU access across multiple programs running on the same system.
• Lead designs to determine the needs of the system and how to best meet those needs through continually improving our ML software stack.
• Advise peers and management on technical matters.

What We’re Looking For:

• Experience with machine learning accelerators, including GPUs, NPUs, TPUs, and their programming environments, including CUDA, TensorRT, or similar technologies.
• Strong experience with modern C++ development in a Linux environment.
• Experience with parallel and high-performance computing.
• Comfortable with experimentation and evaluating different options as we work towards finding solutions that work. 
• A degree in Software Engineering, Computer Science, Electrical or Electronic Engineering, or similar technical field of study, or you have equivalent knowledge gained through your practical experience.

Preferred, but not required:

• Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. 
• Experience with embedded systems development for ARM-based system-on-chip architectures.
• Experience working in a MLOps or DevOps environment.
• Passion for self-driving technology and its potential for positive impact on the world.
  
  

This role is hybrid from our Boston office. It requires two in-office days each week, ideally Tuesday and Thursday.

Tech Lead Manager, Planning

On our Planning team, you'll apply your passion in robotics and software development for production-ready autonomous vehicles. As the Technical Lead Manager, you will direct a team tasked with the design and implementation of motion planning software for autonomous vehicles. This position requires leadership in defining the motion planning and control systems that enable our fleet to operate securely, effectively, and with passenger comfort in intricate settings. As a leader, you will drive the development of cutting-edge motion planning algorithms, collaborate with cross-functional teams (Localization, Perception, Prediction, Controls, ML Products, and Systems Engineering), and mentor a talented group of engineers to deliver state-of-the-art solutions. If you are passionate about autonomous driving, thrive on solving challenging real-world problems, and are eager to make a significant impact in a rapidly evolving field, we want to hear from you.

Role responsibilities:

• Lead and develop a team within the motion planning organization, assuming responsibility for planning algorithm and constraint generation.
• Collaborate with other leaders to provide technical direction, making critical decisions on architectural strategies, strategic resource allocation, operational execution, and technical debt management.
• Deliver a robust and scalable planner, prioritizing safety throughout the design, prototyping, testing, deployment, and production phases.
• Adopt a metrics-driven approach to the development and enhancement of technical components.
• Advance existing planning methodologies to facilitate data-driven strategies.
• Promote diversity and inclusion in both products and personnel.
• Mentor and offer constructive feedback (technical and professional) to team members, cultivating an inclusive and collaborative work environment.
• Demonstrate initiative in generating innovative ideas, formulating a team vision, and considering the holistic robotaxi system.
• Implement and review algorithms and code, applying rigorous engineering methodologies.
• Partner with project managers to develop roadmaps and execute plans according to schedule.

What we're looking for:

• Over two years of experience in the management of a development team, with a demonstrated ability to foster career growth, mentor team members effectively, and enhance productivity.
• Masters or PhD in Robotics, Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, or a related field.
• Established history of successfully delivering production-quality motion planner in a leadership capacity.
• Advanced proficiency in search algorithms.
• Experience in developing motion planning solutions with ML
• Expertise in C++ software development, Linux, and Python, with supplementary knowledge of SQL.
• Strong theoretical understanding and practical experience in motion planning under conditions of uncertainty, as well as in interactions with dynamic agents and environments.
• Knowledge of robotics algorithms in localization, perception, prediction, motion planning, and control systems for autonomous vehicles.
• Excellent communication, interpersonal, and management skills.

Skills appreciated

• Experience in Autonomous Vehicles or other robotics industries
• Experience using simulation tools
• Experience with Verification & Validation for safety critical systems

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a talented Senior Sales Engineer to join our Enterprise, Existing Business sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and supporting a regimented proof-of-value process throughout the sales cycle.

This is a full-time, remote position based in US with strong preference for Central and East Coast timezones.

Technologies You’ll Use

AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana Linux, Windows, Python

What You’ll Do

• Work with Enterprise customers to understand their business, their use cases, and their data replication requirements

• Work cross functionally with your internal counterparts (AEs, Professional Services, BDRs, marketing, and support) to build and maintain a holistic account ownership plan

• Develop and deliver technical presentations to Enterprise audiences

• Ensure the technical win by running a tight proof-of-value process

• Work closely with Fivetran’s Product and Engineering teams to ensure alignment of our solutions to Enterprise customer needs

• Develop and maintain relationships with key Enterprise customers and partners

• Stay up-to-date on the latest technologies and trends in our industry

Skills We’re Looking For

• 5+ years in data replication, sales engineering, or related technical field

• Proven ability to work cross-functionally to support large enterprise customers

• Strong technical background covering database replication, cloud infrastructure, and data replication technologies

• Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools

• Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders

• Strong problem-solving and analytical skills

Bonus Skills

• Experience with Oracle, SQL Server & SAP databases

• Hands on experience with other data replication or ETL tools

• Experience with self-hosted software applications and supporting infrastructure

• Hands on networking experience both in the cloud and on-premise

This position qualifies for Fivetran’s incentive plan, and it’s common for employees in this role to achieve the total on-target earnings.

As part of our commitment to setting new hires up for success, all new sales team members attend a one-week, in-person Revenue Bootcamp during their second week at Fivetran. This bootcamp, held at one of our designated company locations, requires travel and is a mandatory part of the onboarding process.

#LI-REMOTE #LI-MT2

ENSCO's Applied Technology and Engineering (ATE) Division designs, develops, manufactures, and supports advanced technology inspection systems for national and international railway markets.
We are currently seeking a Junior Technician for our ATIP maintenance group which supports a variety of railroad transportation activities to maintain and ensure safe rail systems for the Federal Railroad Administration and railroad companies.
The incumbent will perform scheduled maintenance and unscheduled repair of diesel engines, electrical generators, brake systems, drive systems, inspection system instrumentation, electrical subsystems, and other railcar appliances. Occasional assignments conducting railroad track inspection operations may be performed. Update and maintain record keeping of performed work.

Job Responsibilities Include:
· Conduct inspections, troubleshooting, diagnosis, and repairs of rail vehicle and sub-systems (Electrical, mechanical, pneumatic, hydraulic, and optical systems)
· Complete installations and upgrades, inspections, repairs, and calibrations of measurement systems
· Coordination with design engineering for failure analysis, root cause analysis and product improvement and new system installations
· Analysis and repair of mechanical, electrical, sub-systems, and components
· Communication with work group, report on action taken during work evolutions, complete technical reports
Use and update drawings and diagrams used in repairs and building systems.

Qualifications Required
• A minimum of 2 years relevant experience in electrical, mechanical, or electromechanical, welding/fabrication fields
• Ability to read schematics and/or diagrams for various systems
• Effectively troubleshoot electrical, mechanical, electromechanical, pneumatic, or hydraulic systems
• Competency in the use of electronic test equipment including multi-meters, oscilloscopes, function generators, power supplies, and network analyzers
• Competency in the use of PowerPoint, Word, and Excel
• Must have excellent verbal and written communication skills
• Possess and maintain valid Motor Vehicle Driver's license
• Pass and maintain various safety training certificates
• Travel of no less than 25% per month
• This position requires the successful completion of a Public Trust background investigation. Qualified applicants must have resided in the United States for at least three (3) of the past five (5) years

Physical Requirements
• Willing and able to work long hours (approx. 12-hour shifts, although no overtime assumed or guaranteed)
• Lift and carry 50 lbs. for 150+ feet
• Climb a ladder and work at 15+ feet
• Ability to work in tight spots, under and about survey vehicles
• Willing to work in inclement weather
• Maintain professional conduct and appearance
• Ability to distinguish between colored signals as required for safe railroad operations
• Must be able to hear train sounds, horn, and radio warnings to act as a safety watchman in railroad environment

The selected candidate will be required to submit additional screening and background investigations in connection with this position. Wearing safety equipment (hard hat, steel-toe boots, protective vest and protective eyeglasses) when working on railroad properties is also a requirement. ENSCO will provide all necessary safety equipment.

Qualifications Desired
· College or Technical School attendance and/or completion certificate or degree
· Welding and metal fabrication skills (plasma, MIG, TIG, ARC) with multiple material types
· Diesel engine maintenance and repair expertise
· Hydraulics and Pneumatics maintenance and repair expertise
· Heavy equipment maintenance and repair
· Ability to solder and build cable assemblies
· Railroad environment experience
· Familiarity with CFR Title 49 Parts 229 and 238
· Knowledge of and experience with air brake systems
· Experience with optical and inertial sensors
· Knowledge of and experience with Programmable Logic Controllers (PLC)
· Experience setting up and debugging local area networks
· Proficiency with multiple software operating systems and applications (i.e., QNX, Linux)
· Quality Program exposure/experience (ISO 9001, 17025)
· Safety Program experience (Railroad, OSHA, specialized)
· CDL (commercial driver's license)
· CPR/First Aid certifications
· Ability to work with minimal supervision
· Leadership experience
· Carpentry skills

Required Certifications: None
U.S. Citizenship Required: No
Security Clearance Required: None
Employment Type: Regular Full-time
Background Check Type: 7 Year Pre-Employment
Drug Screen Required: Pre-Employment Drug and Random Alcohol and Drug (FRA)
Position Contingent Upon Contract Award: No

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. 

We’re searching for a software engineer to join Aurora’s Data Platform. The Data Platform Team is responsible for offloading, ingesting and scaling data through various pipelines, including autonomy sensor data, vehicle logs, sims, models, and training sets, along with their life cycle management. The ideal candidate will design and implement systems that efficiently work for both physical offloaders and cloud, and also be an effective liaison between onboard system to cloud system.

In this role, you will

• Contribute to the development of internal products and following best practices to simplify data retention. 
• Work on tasks to improve the log data availability, discoverability and end to end  lifecycle.
• Design efficient AV Log storage patterns that balance performance and affordability. Help drive the system efficiency by improving data hygiene across Aurora to deliver cost efficiency.
• Support software engineers across different teams and proactively working together with stakeholders on tasks to satisfy company OKR.

Required Qualifications

• BS/MS or PhD in Computer Science or a related field
• Minimum 1 year related experience
• Required programming skills: GoLang/Python
• General knowledge of backend software systems networking, load balancing, API gateways, system security, gRPC services.
• AWS infrastructure experience, including S3 and DynamoDB in a production commercial system
• Knowledge of database design, database management and database scalability.

Desirable Qualifications 

• Proficiencies with coding in C++ 
• Proficiencies with Linux system 
• Experience with large scale distributed systems or microservice architectures
• Experience with DynamoDB / AWS Glue Catalog / AWS Athena
• A passion for writing robust, intuitive, high-performance code, and being pragmatic about it
• Ability to navigate and work efficiently in large codebase 
• Strong software development background demonstrated by industry experience in building platforms that serve AV development and commercialization.

The base salary range for this position is  $105,000 - $157,000 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-#Entry-Level 

What we are looking for

We’re searching for a Senior Cloud Security Engineer. You will be part of the Cloud Security engineering team dedicated to building resilient, automated security systems at scale. 

Cloud security collaborates with infrastructure and application teams closely. The areas we cover are infrastructure security, workload security, and CI/CD hardening.

Our team is dedicated to building resilient, automated systems at scale. We take a hybrid approach to our toolkit: we utilize the best of open-source (OPA, Trivy, Spire) and COTS products, while still writing custom code to automate workflows and harden our global digital integrity. You’ll help us strike the perfect balance between leveraging existing solutions and building custom ones from the ground up.

In this role you will

• Secure Aurora’s cloud environment in the areas of but not limited to:
• Manage IAM roles and policies
• Enforce security controls
• Construct security boundaries for resources and services
• Provide security guidance involving Cloud and Kubernetes
• Create automation to solve security problems at the root
• Design, build, and configure security infrastructure clouds such as like AWS, Azure, or GCP
• Manage the security posture of workloads deployed on Kubernetes environments

Required qualifications

• 5+ years of progressive experience in security engineering
• Understanding of fundamental security concepts such as Authentication, Authorization, Zero-Trust, and their application to cloud native infrastructure and applications. 
• Hands-on experience in securing cloud and Kubernetes environments. Experience with Kubernetes admission controllers, vulnerability management, supply-chain security, network security, and use of mTLS and PKI to secure infrastructure.
• Ability to design and implement security controls for Kubernetes, including strong knowledge of authorization models, admission controllers, and security best practices.
• Understanding of modern Identity and Access Management (IAM) standards and technologies such as OAuth2/OIDC, SAML.
• Proficiency in at least one modern programming/scripting language (e.g., Python or Go) for building security automation.
• Experience writing and using Terraform.

Desirable qualifications

• Deep fundamental understanding of enterprise-level network security, operating system (Linux), Kubernetes, CI/CD, and application security principles.
• Familiarity with compliance frameworks (e.g., SOX, SOC 2, ISO 27001).
• Familiarity with machine identity frameworks like SPIFFE/SPIRE, mTLS or equivalent.

The base salary range for this position is $146,000 - $211,000 per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. 

We are looking for a Senior Staff Software Engineer to join our Performance Engineering and Optimization (PeO) team. As a technical leader in this high-impact group, you will spearhead efforts to push the boundaries of our system's efficiency, ensuring our technology remains at the forefront of the industry. This is a rare opportunity to own the performance roadmap for a commercialized product, tackling complex, large-scale engineering challenges that directly influence the reliability and speed of our fielded environment.

In this role you will

• Lead cross-functional performance initiatives to identify and resolve systemic bottlenecks, significantly improving end-to-end latency and system throughput.
• Architect and implement advanced system instrumentation frameworks to provide deep visibility into modern OS-level performance metrics.
• Drive the technical strategy for C/C++ optimization, mentoring junior engineers and establishing best practices for high-performance systems-level programming.
• Collaborate with product and infrastructure teams to ensure that performance remains a core pillar throughout the product lifecycle, from initial design to field deployment.
• Analyze and interpret complex telemetry data from fielded environments to proactively address performance regressions and optimize resource utilization.

Required qualifications

• 8–10+ years of professional experience in systems-level programming
• Lead C/C++ optimization and system instrumentation to improve latency and throughput.
• Experience delivering and supporting a commercialized product in a fielded environment.
• Hands-on expertise with modern OS-level instrumentation toolkits 

Desirable qualifications

• Proven track record of technical leadership for large-scale performance engineering projects within the autonomous vehicle or robotics industry.
• Deep familiarity with Linux kernel internals, memory management, and hardware-software co-design principles.
• Experience with specialized profiling tools (e.g., eBPF, perf, or Ftrace) and automated performance regression testing suites.
• Advanced degree (Master’s or PhD) in Computer Science, Computer Engineering, or a related field with a focus on systems performance.

The base salary range for this position is $171,000.00-$273,000.00 per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #Mid-Senior 

#LI-td-1

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Software Engineer II - Vehicle Control.

In this role, you will

• Work within our control team to develop infrastructure and integrate embedded software with a modern C++ autonomy stack.
• Interact with autonomy planning and control software, embedded layer software, and vehicle platform commands and monitoring.
• Develop frameworks for robotics software that is run across multiple hardware devices.
• Develop software that will directly influence on-road behavior of autonomous vehicles including mode of operation, fault management, and health monitoring.
• Work with software/hardware interfaces including embedded system simulation, hardware-in-the-loop, and vehicle system level testing.
• Build tools to automate testing and analysis of the control subsystem to assist in verification to safety-critical coverage standards.
• Development in Linux-based environments as well as RTOS embedded environments.

Required Qualifications

• Experience in software development using modern robotics frameworks
• Proficient in C++/C and python, including experience with embedded applications
• Knowledge of software architecture design best practices
• Familiarity with modern communication technologies and networking protocols (CAN, TCP/IP)
• Working knowledge of software analysis, linting, and testing tools
• Experience in systems-level programming

Desirable Qualifications 

• Experience in a regulated, safety critical, or quality managed environment
• Familiarity with control systems of automotive, aerospace, robotics, or similar systems

The base salary range for this position is $126,000-$201,000 per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. 

 #LI-JH1

#Associate

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Software Engineer for the Autonomy Integration Team (Functional Architecture)!

In this role, you will

• Work within our Autonomy Integration team to develop infrastructure and integrate software with a modern C++ autonomy stack.
• Interact with autonomy planning and control software, remote assist software, and vehicle platform commands and monitoring.
• Develop fault monitoring of autonomy subsystems. 
• Develop software that will directly influence on-road behavior of autonomous vehicles including mode of operation, fault management, and health monitoring.
• Work with software/hardware interfaces including embedded system simulation, hardware-in-the-loop, and vehicle system level testing.
• Build tools to automate testing and analysis of the motion planning subsystem to assist in verification to safety-critical coverage standards.
• Development in Linux-based environments or embedded platform.

Required Qualifications

• 3+ years of applied industry experience in software development using modern robotics frameworks
• Proficient in C++ and C code, including experience with distributed or embedded applications
• Knowledge of software architecture design best practices
• Familiarity with modern communication technologies and networking protocols (CAN, TCP and UDP)
• Working knowledge of software analysis, linting, and testing tools

Desirable Qualifications

• Experience in a regulated, safety critical, or quality managed environment
• Experience with autonomous vehicles or related robotics fields
• Familiarity with Motion Planning algorithms or control systems of automotive, aerospace, robotics, or similar systems

The base salary range for this position is $126K - $181.5K per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-JL261

#Mid-Senior 

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Software Engineer to join Aurora’s Behavior Planning ML Platform team.  Our team is responsible for building both the offline pipelines to train and evaluate models and the infrastructure to efficiently run these models onboard the vehicle. On the offboard side, we build and support  the large scale distributed pipelines that model developers rely on to source data at scale, train, and evaluate machine learning models. On the onboard side, we build and maintain the on-vehicle infrastructure required to deploy these models and run inference in a soft real-time system.

In this role, you will

• Develop large scale pipelines for data extraction, model training and model evaluation
• Build and optimize onboard ML infrastructure used to deploy models and run inference onboard the vehicle
• Collaborate closely with motion planning, systems engineering, and other autonomy groups to define and develop critical ML workflow requirements.

Required Qualifications

• BS or higher degree in Computer Science/Engineering or related fields. > 6 months of experience
• Strong programming skills in C++ or Python, ideally both
• Experience with machine learning frameworks (PyTorch or TensorFlow)
• Solid foundation in computer science fundamentals - especially operating system concepts including concurrency, memory management and process scheduling.

Desirable Qualifications (this section is optional)

• Experience with GPU programming and Nvidia profiling tools - CUDA, NSight Systems, Nsight Compute
• Experience working in cloud compute (AWS, Azure, GCP) ideally with batch processing or other large-scale workflow management platforms. 
• Experience profiling and optimizing software on Linux

The base salary range for this position is $126,000 - $181,000 per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-JL261

#Mid-Senior 

Aurora’s Product Security team’s mission is to discover, mitigate, and prevent security risks in the software, hardware, and services developed by Aurora.

Our team is responsible for ensuring the secure design and implementation of secure technologies used by the Aurora Driver as well as continually improving the assurance levels of security across all of Aurora’s Products.  This team is also responsible for developing, contributing and documenting security engineering processes and the resulting product security requirements used by the company. Additionally team members support and perform technical security assessments, threat modeling, security code reviews and vulnerability testing to highlight and document risks. This team works closely with engineers across Aurora as well as 3rd party partners to design and proactively integrate initiatives to enhance security across a wide variety of software or hardware domains and technology stacks.

In this role you will:

• Provide consulting and advisory services to engineering teams heavily focused on automotive cybersecurity
• Work directly with engineering and non-engineering teams to drive improvements in internal processes, procedures and technical fundamentals through threat modeling and requirements development
• Develop, document, improve, implement and execute cybersecurity best practices and processes for autonomous vehicles across internal and external engineering partners
• Perform technical automotive cybersecurity assessments and reviews, research, uncover, and reproduce vulnerabilities, design secure protocols and systems, and write tests and fuzzers to drive architecture changes
• Assess the risks across the Aurora Driver Platform and prioritize high value components (software and/or hardware) for critical and high security vulnerabilities
• Conduct research to identify new and novel attack vectors against Aurora’s products and services
• Review, develop and document secure operational best practices, and provide security guidance for engineers and various internal and external partners 

Required Qualifications:

• Foundational knowledge of Automotive Cybersecurity (ISO21434/UNECE/NHTSA)
• Foundational knowledge of operating system security for Linux
• Foundational knowledge of the CWE Top 25
• Develop, document and execute structured processes and procedures around automotive cybersecurity
• Ability to write proficiently in C++, Golang and Python
• Ability to assess software and/or hardware components with and without full knowledge
• Ability to work well with other assessment members and engineering partners
• Ability to communicate effectively with technical and non-technical audiences
• Experience in one or more of the following: risk assessment, threat modeling, incident and emergency response, OS hardening, vulnerability management, pentesting, offensive security or cryptographic protocols and concepts
• Experience in vulnerability discovery and analysis, design review, and code-level security reviews
• Experience in, and technical knowledge of security engineering, computer and network security, authentication and security protocols, and applied cryptography.
• Experience with assessment, development, implementation, and documentation of a comprehensive and broad set of security technologies and processes

Desirable Qualifications:

• Relevant automotive cybersecurity work experience
• Relevant experience with Automotive Cybersecurity Frameworks (ISO21434/UNECE/NHTSA)
• Relevant work experience in offensive security, penetration testing or red teaming
• Experience implementing various Defense in Depth Strategies to address dynamic threats across various software and hardware stacks.
• Ability and desire to write production-quality code in C++, Golang, or Python
• Experience evaluating the security of software, hardware and services
• Foundational knowledge of embedded firmware security and hardware security, preferably in the robotics or automotive space
• Familiarity with cloud security (AWS) and infrastructure-as-code
• Familiarity with Trusted Platform Modules, HSMs, and trusted boot
• A history of giving back to the security industry via open source contributions, published papers, or conference presentations

The base salary range for this position is $171,000 - $250,000 per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. 

We’re searching for a Senior software engineer to join Aurora’s Vehicle Data Management team. The Vehicle Data Management Team is responsible for offloading, ingesting and scaling data through various pipelines, including autonomy sensor data, vehicle logs, sims, models, and training sets. The ideal candidate will design and implement systems that efficiently work for both physical offloaders and cloud, and also be an effective liaison between onboard system to cloud system.

In this role, you will

• Architect and implement on-vehicle/offload + cloud data systems that scale to hundreds of PB of multimodal data (sensor/log/sim/ML datasets).
• Improve reliability and performance of offline data workflows: throughput, latency, and discoverability (indexing/metadata/search).
• Build internal tooling, libraries, and operational patterns that make data pipelines  evolve and scale.
• Own key services end-to-end (design, implementation, rollout, on-call/operations, observability, and incident response).
• Partner directly with stakeholders across onboard systems, autonomy, ML, and infrastructure to deliver pragmatic solutions.

Required Qualifications

• BS/MS or PhD in Computer Science or a related field
• Minimum 3-5 years related experience
• Required programming skills: GoLang/Python
• General knowledge of backend software systems networking, load balancing, API gateways, system security, gRPC services.
• AWS infrastructure experience, including S3 and DynamoDB in a production commercial system
• Knowledge of database design, database management and database scalability.

Desirable Qualifications

• Proficiencies with coding in C++ 
• Proficiencies with Linux system 
• Experience with large scale distributed systems or microservice architectures
• A passion for writing robust, intuitive, high-performance code, and being pragmatic about it
• Ability to navigate and work efficiently in large codebase 
• Strong software development background demonstrated by industry experience in building platforms that serve AV development and commercialization.

The base salary range for this position is  $146,000 - $234,000 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-#Mid-Senior 

About the Role:

Rumble Cloud is seeking a Kubernetes Engineer to support our team in rolling out and operating our next-generation Kubernetes platform. This role will focus on our new CAPI/CAPO-based Kubernetes solution, which is designed to be compatible with our existing OpenStack Magnum API and will be deployed across our public cloud. You will help run the day-to-day operations of the Kubernetes service, assist with migrations and onboarding from our current Magnum-based offering, and act as an escalation point for complex customer issues that go beyond front-line support. This is a hands-on engineering role for someone who enjoys debugging difficult problems, improving reliability, and working closely with both platform engineers and customer-facing teams.

Key Responsibilities:

• Operate and maintain Rumble Cloud’s Kubernetes platform, including our new CAPI/CAPO-based installation and its integration with the OpenStack Magnum API.
• Assist in the rollout, migration, and upgrade processes as customers transition from the existing Magnum-based solution to the new platform.
• Serve as an escalation point for customer support, troubleshooting complex Kubernetes and cluster lifecycle issues.
• Monitor the health, performance, and capacity of Kubernetes clusters and underlying infrastructure; assist in incident response and root cause analysis.
• Implement and maintain day-2 operations processes, including backup/restore, scaling, patching, and cluster upgrades.
• Collaborate with the Kubernetes Architect to implement standards, best practices, and reference patterns for cluster configuration and operations.
• Help manage and integrate container registries, identity, networking, and storage components required for the Kubernetes platform.
• Automate repetitive operational tasks using scripting and infrastructure-as-code tools.
• Contribute to and maintain runbooks, documentation, and knowledge base articles for both internal teams and customer-facing support.
• Provide feedback from operations and customer interactions to influence platform improvements and product roadmap.

Required Skills & Experience:

• Extensive experience in Linux systems engineering, cloud engineering, or platform/SRE roles, including hands-on work with Kubernetes in production environments.
• Practical experience with installing, operating, and troubleshooting Kubernetes in production environments.
• Experience working with Kubernetes on OpenStack or other cloud providers.
• Familiarity with Cluster API (CAPI) and/or Cluster API Provider OpenStack (CAPO), or strong willingness to ramp up quickly.
• Strong understanding of Linux, containers, and container runtimes (e.g., Docker, containerd).
• Experience with Kubernetes networking, storage, and ingress concepts (CNI, CSI, load balancers, ingress controllers).
• Hands-on experience with scripting and automation (e.g., Bash, Python, or Go) for operational tasks.
• Familiarity with configuration management and IaC tools such as Ansible and Terraform.
• Experience with monitoring and logging in Kubernetes environments (e.g., Prometheus, Grafana, ELK/Graylog, or similar).
• Strong troubleshooting skills, clear written documentation, and effective communication with both technical and non-technical stakeholders.

Nice to Have (Preferred Skills):

• Experience with OpenStack Magnum and its Kubernetes integrations.
• Experience operating Kubernetes on other public cloud platforms (EKS, AKS, GKE).
• Knowledge of Ceph, S3-compatible storage, and their use with Kubernetes.
• Understanding of application architectures on Kubernetes, including microservices and 12-factor applications.
• Exposure to CI/CD toolchains (e.g., Git, GitLab/Jenkins, Artifactory, etc.) for containerized workloads.
• Experience with security hardening and best practices for Kubernetes (RBAC, PodSecurity, network policies, image scanning).

Qualifications:

• Demonstrated experience operating production Kubernetes clusters and working as part of a cross-functional cloud/platform team.
• Ability to work effectively under pressure, handle escalations, and maintain a strong customer-focused mindset.
• Passion for continuous learning in Kubernetes, cloud-native tooling, and automation.

Annual Compensation Range: 

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization.

Rumble is seeking an experienced Infrastructure Engineer (Data Center) responsible for the operation, maintenance, and optimization of critical data center infrastructure.

As a key member of the Data Center Services Team, you will:

• Build, configure, and deploy physical and virtual servers for various applications.
• Perform ongoing maintenance, upgrades, and health checks on servers.
• Develop and run scripts for automation of administrative and configuration management tasks (Ansible, Terraform).
• Perform OS and security patching and upgrades.
• Diagnose and resolve system issues efficiently and effectively.
• Monitor infrastructure-related tickets and respond within established SLAs.
• Create and maintain clear technical documentation, processes, and procedures.
• Travel to data center locations as required to support operations.

Required Qualifications

• 3+ years of experience working with and building virtual machine–based solutions.
• 3+ years of experience building container-based solutions.
• 3+ years of hands-on Linux administration experience (RHEL, Ubuntu, Rocky), including enterprise server administration (hardware and OS).
• Ability to work independently as well as collaboratively on a high-performing team.
• Strong communication skills and proficiency in documentation.
• Ability to think creatively and propose non-traditional or innovative solutions. And has the capacity to implement in a timely manner.

Preferred Qualifications

• Familiarity with security and compliance
• Experience with Proxmox or similar open-source virtual machine environments and containers.
• Working knowledge of installation and basic administration of open-source databases.
• Networking experience (load balancing, firewalls, DNS).
• Strong awareness of security and compliance best practices.
• Python and Bash scripting experience.
• Familiarity with Disaster Recovery / Business Continuity (DR/BC) processes.

Desired Qualifications

• Linux certification, CompTIA A+, or equivalent technical experience.
• Experience with one or more programming languages.

Annual Compensation Range: 

$107,000 - $134,000 USD base + benefits + equity (If based in the United States)

$84,000 - $106,000 CAD base + benefits + equity (If based in Canada)

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization.

Job Summary

An embedded systems engineer is an individual contributor role responsible for designing, developing, and implementing real-time embedded software and firmware solutions. This role supports cross-functional engineering activities, contributes to technology research, and performs sustaining work on existing products. The engineer collaborates with global teams to ensure secure, reliable, and high-performance embedded platforms.

Key Responsibilities

• Design and implement embedded software in C/C++ for real-time systems
• Develop detailed design documentation and contribute to system requirement specifications
• Support system architecture activities and contribute to technology conceptualization
• Assist in identifying and mitigating security vulnerabilities within embedded applications
• Support threat modeling activities for embedded components
• Participate in R&D initiatives and assist in evaluating emerging technologies
• Troubleshoot, maintain, and enhance existing embedded products
• Collaborate with global and local engineering teams to align system development
• Participate in standards-based industry working groups when applicable
• Work independently and within multi-disciplinary teams to complete assignments
• Other duties as assigned.

Qualifications

• BS (MS/ME preferred) in Computer Science, Electrical Engineering or related field
• Knowledge / experience developing embedded systems for high reliability applications (Industrial, Automotive, Medical, Defense, etc.)
• Demonstrated ability to conceptualize and create innovative solutions
• Experience with industry best practices in embedded development and quality assurance
• Proven experience developing applications for embedded Linux in C/C++
• Experience with VHDL / Verilog for FPGA design
• Knowledge of web and cloud technologies
• Source level knowledge of Ethernet based and industrial communication protocols
• 3+ years’ experience leading new technology development and working within cross-functional groups to successfully bring products to market

Essential Job Functions

• Eligible to receive a US passport
• Ability to travel by air as required
• Ability to sit for extended periods and ride in a car for up to 6 hours
• Ability to communicate effectively in English (written & verbal)
• Ability to travel overseas for extended periods if required
• Regular and on-time attendance
• This is a hybrid position unless otherwise specified requiring 3 days in the office.

Perks & Benefits

Phoenix Contact offers a generous benefits package that includes medical, dental, and vision coverage, 401k matching, and a generous time off package. There are also a wide variety of additional benefits available including 16 weeks fully paid maternity leave & 10 weeks fully paid paternity leave, life insurance, short & long-term disability, on-site gym access, health & wellbeing center, on-site café, walking trails, tuition assistance, and more!

#LI-DZ1

POSITION TITLE: Cybersecurity Instructor

LOCATION: Newark, New York, Dallas, Pittsburgh, NCR, Boston, Philadelphia preferred 

Position Description:

Per Scholas is seeking a dynamic, team-oriented individual to serve as a Cyber Security Instructor. The Technical Instructor will play an important role in our organization’s mission, as they train Per Scholas students to be outstanding entry and mid-level technicians.

WHAT YOU’LL DO

Classroom Facilitation

• Using a structured and approved curriculum, conduct a full-time, 15-week cycle of technical training to prepare students for entry to mid-level jobs in the field of Cyber Security. Technical training competencies include but are not limited to: hardware, software, networking, security, server, mobility, virtualization, and project management.  Class sizes range from 15-24 students.
• Facilitate in a highly interactive, hands-on style. The Per Scholas curriculum calls for a maximum of 1.5 hours of lecture in a 6-hour teaching day.  The rest of the time is dedicated to interactive, hands-on lab activities which are led by the Technical Instructor.
• Utilize in-house Learning Management System for assignments, tests, and real-time performance monitoring
• Manage and appropriately utilize a teaching assistant 
• Maintain regular office hours

Managing Student Performance 

• Provide students with ongoing feedback, conferencing, and performance appraisals.  Recognize any challenges early and work with coaches and students to overcome them.
• Coordinate closely with students’ career coach and learner support staff on enforcing program rules and promoting student success.
• Prepare student evaluations individually and in conjunction with a career coach.
• Participate in all required student progress meetings with other members of the team
• Monitor and enforce student class attendance, dress code, and other program policies
• Ensure classes achieve at least a 90% pass rate on all certification exams

Curriculum

• Provide input on tech curriculum and any changes needed to keep content current and relevant
• Provide input on labs, Learning Management systems, and program policies 
• Conduct real-time student data entry in Salesforce.com

WHAT YOU’LL BRING TO US:

Personal Characteristics 

• You thrive in a creative, inventive, fast-paced startup environment with people who are passionate about their work and mission. 
• You are data-driven, result-oriented, and a forward-looking catalyst for social change.
• You have a collaborative and flexible work style. You’re excited to work cross-functionally with other departments and independently.
• You are an effective communicator with strong oral and written skills.
• You are adept at relating real-world experience/examples to the academic curriculum.
• You are tech-savvy and can learn quickly. 
• You are strong at managing your time and you can balance multiple projects and tasks. 
• You stand behind our mission, believing that individuals from any community should be able to access well-paying career positions, and that talent should be recognized and recruited from many diverse sources.

Professional Qualifications

• Expert-level knowledge and experience in the following competencies: server management, hardware, software, networking, mobility, virtualization, project management, and security
• Network+ CompTIA Security+ certified.; CCNA, CISSP SANS, Certified Ethical Hacker (CEH), are strongly desired
• Must be CompTIA CYSA+ certified or able to earn the certificate within 30 days of hire.
• Must have some teaching experience, preferably with adults in an online environment.
• Proficient in TCP/IP networking and networking protocols as well as Microsoft Windows operating systems including console/terminal usage
• Familiarity with Linux, Windows Server Environments, Firewalls, Intrusion Detection and Prevention Systems, Penetration Testing and Vulnerability Assessment is required
• At least two years of professional experience in the tech industry in a security role
• Ability to teach in a highly interactive and hands-on style
• Ability to commit to individual performance goals on certification and placement
• Flexibility to adapt to continuous changes in the curriculum (needed to stay current in the industry)
• Qualified candidates must be able to comfortably and frequently lift 50lbs

For this role specifically, we are targeting a range between $70,000/year and $75,000/year, where the difference in salary is typically determined by several factors, including geography in which the selected candidate resides, and alignment with qualifications and experience.

#LI-Onsite