Systems engineer jobs in Austin, TX

WORK DESCRIPTION: Our client is seeking a System Analyst III to support data analytics, reporting, automation, process documentation, and engineering operations. This role requires someone who can independently deliver reporting solutions, automate workflows, support SharePoint enhancements, and partner with engineers to manage technical datasets. The ideal candidate must translate engineering concepts into structured, meaningful reports and dashboards, perform data manipulation and automation, and build light application components (SharePoint, Power Automate, Python) needed to support internal workflows. This includes shaping raw engineering data into usable formats, developing reporting frameworks, and creating repeatable processes that enable the team to make data-driven decisions. Essential duties and functions include the following: 1) Enhance engineering operations through data analytics, report development, automation, and documentation 2) Build, update, and maintain dashboards and performance visuals using Power BI 3) Develop and maintain the System Protection Engineering SharePoint site, including forms, workflows, and documentation repositories 4) Build Power Automate flows for engineering processes 5) Perform Python-based data cleanup, automation, and backend access 6) Assist with internal project coordination and engineering operations support 7) Create process documentation, SOPs, and workflow diagrams 8) Ensure compliance with Records Management and Data Governance policies 9) Other related duties and functions may be assigned WORKER SKILLS AND QUALIFICATIONS: Minimum (Required): insert specific minimum skills for this Contract Position) 8+ Experience as a Data Analyst, Reports Developer, or Business Systems Analyst. 8+ Advanced MS Excel skills including PivotTables, formulas, and (preferred) VBA/macros. 8+ Experience with Power BI 8+ Maintaining and enhancing SharePoint sites. 8+ Experience documenting workflows and processes. Preferred: 1 Experience with utility engineering datasets such as substation, transmission, and distribution systems. 1 Exposure to NERC, ERCOT, FERC, and Texas PUC regulatory environments. 2 Python for automation, data cleanup, and backend data access 2 Experience with Power Automate. Work Hours: Monday-Friday 8:00 AM - 5:00 PM (Hours may be flexible). This position is a hybrid position and will require one (1) day, in office per week (Monday). The office location is in the Mueller area of Austin, TX. Other Special Requirements if applicable: Three professional references required (Only if interviewed). Two (2) part interview process (Phone screening, followed by in-person). TERM OF SERVICE: Contracted position beginning in December 2025 through September 30, 2026 (May be extended into FY27). #TECHIND

Must have skills: • 10+ years of experience with a Bachelor's Degree in Computer Science/Engineering, or 8+ years of experience with a Master's Degree, or 6+ years of experience with a PhD • Proven experience in designing, maintaining, and troubleshooting FE Design Verification flows and CAD infrastructure for large-scale, high-performance projects. • Expertise in flow-based regression management, with strong analytical skills in debugging regression and coverage issues. • Familiarity with industry-standard tools including Synopsys VCS, IES, and RTL architecture tools, with hands-on experience in xprop configuration for VCS and IES. • Advanced knowledge of version control systems, particularly Git, Perforce, and Git-P4 interfaces, with an ability to support and streamline versioning workflows. • Strong communication skills, with experience working directly with EDA vendors to resolve issues and improve tool performance. • Ability to work independently and as part of a team, with a proactive approach to problem-solving and a strong attention to detail.

The Migration Engineer will participate in the planning, design, and execution of email and data migration initiatives during large acquisitions. This role provides technical support for migrating email to Exchange Online and migrating data from external sources into Box. Experience with Box Shuttle is mandatory, as it will be a core component of the data migration process. The role requires strong expertise in Exchange Online, internet email systems, DNS, and enterprise-grade migration tooling. Responsibilities Assist with the migration of mailboxes from multiple external sources into one or more managed Exchange Online tenants. Utilize Box Shuttle to migrate data from external repositories into a centralized, managed Box instance. Support the planning and execution of migration processes while ensuring minimal disruption to users and business operations. Collaborate with senior engineers, internal teams, and external partners to assess existing mailbox configurations and define migration requirements. Provide escalation support to end-users during migrations, resolving issues quickly and effectively. Document migration procedures, configurations, and troubleshooting steps for future reference. Assist the Data Migration team as needed to support additional Box-related or cross-platform migration tasks. Requirements 3+ years of hands-on experience with Microsoft Exchange Online, including mailbox migration. Demonstrated experience with Box Shuttle for large-scale data migrations (mandatory). Core Competencies Experience with ProofPoint Email Protection and a strong understanding of DKIM, SPF, and DMARC. Experience using BitTitan MigrationWiz for mailbox migrations to Exchange Online. Experience with Box migration tools, especially Box Shuttle.

Source One is a consulting services company and we're currently looking for the following individual to work as a consultant to our client, an autonomous vehicle company in Austin, TX. Job Title: Technical Support Engineer - Contractor Pay Rate: $34/hr (W-2) Initial Duration: 12 months Work Schedule: Evening shift, 2:00pm-11:00pm, Tuesday-Saturday Description: Seeking a Technical Support Engineer to perform in-depth diagnostics on robot systems running NixOS, restore services, and clearly document and escalate incidents to development teams when needed. In this role, you'll work directly on live systems, analyzing logs, troubleshooting via SSH, and managing internal services to ensure operational reliability. The ideal candidate is a technically curious, analytical problem-solver with strong communication skills and a methodical approach to troubleshooting. You're comfortable working hands-on in Linux environments, learning new tools quickly, and taking ownership of issues from diagnosis through resolution. As a Technical Support Engineer, you'll: - Diagnose onboard robot systems via SSH, performing rapid triage and resolving hardware/software issues. - Review system health and logs (uptime, CPU/RAM/disk usage, time sync, systemd status, journalctl, dmesg) and execute updates or service restarts as needed. - Maintain NixOS systems, verify version integrity, and complete post-update health checks. - Use command-line tools for configuration, navigation, and log collection (grep, awk, sed, tar, nano/vim, chmod/chown, tmux). - Conduct basic network diagnostics (ip addr/link/route) and analyze Grafana dashboards to correlate and confirm system alerts. - Support hardware-level troubleshooting by identifying faulty components and validating replacements. - Communicate effectively across teams using Slack and YouTrack, maintaining precise documentation of actions and findings. Daily Tasks: - Diagnostics on onboard systems via SSH - Connect to robots over ssh, usage of internal pipeline utilities for check up and debug - Working with dashboards, analyzing log files, identifying anomalies - Perform rapid triage checking uptime, CPU/RAM/disk check-up, free space checks, time/synchronization health Required Skills: - Strong Linux CLI skills and comfort working on production hosts via SSH - Proven ability to interpret system/service logs and reason from symptoms to root causes - Practical knowledge of systemd/journalctl and basic networking tools - Familiarity with NixOS concepts and workflows (or readiness to learn quickly) - Clear written communication (incident notes, escalation summaries)

Datacenter Engineer - Services Integration Travel: Up to 80% (Domestic; combination of air and road travel) Employment Type: Full-time, W-2 Compensation: $75,000 - $85,000 annually + Performance Bonuses + Growth Opportunities --- About Olezka Global Olezka Global is a Managed Security Services Provider (MSSP) based in Austin, Texas, delivering Security-as-a-Service, datacenter modernization, and AI infrastructure solutions to mid-market customers across the United States. Our mission is to secure and modernize enterprise environments with agility, precision, and purpose. We're a growing, tight-knit team, not a giant corporation. At Olezka, you'll find a family-like environment built on trust, collaboration, and innovation. We work hard, have fun, and support each other as we grow. If you're looking for a place that values your individuality, technical skill, and self-driven attitude over corporate politics, this is the team for you. --- About the Role We're seeking a Datacenter Engineer with a strong foundation in storage, compute, and networking to help drive our rapid growth in secure datacenter solutions. This role is ideal for someone who's passionate about hands-on engineering, enjoys travel, and thrives in dynamic environments. While the role is home-based, the engineer will spend much of their time on the road across the U.S., working directly with customers to deploy datacenter and infrastructure solutions that power our clients' operations. Networking and security expertise are a significant plus - but the primary focus is datacenter architecture, integration, and performance optimization across Cisco, Dell, and NetApp platforms. Willing to learn and certify in new technologies such as security and automation/orchestration. --- Responsibilities - Design, deploy, and support datacenter infrastructure - including storage, compute, and virtualization environments. - Lead on-site and remote integration projects leveraging Cisco, Arista, Dell, and NetApp technologies. - Implement and optimize NetApp ONTAP environments, including data migrations, replication, and storage provisioning. - Build and integrate next-generation AI infrastructure - including Cisco, Dell, OpenShift and NVIDIA. - Troubleshoot and support datacenter hardware and interconnects across multiple customer environments. - Coordinate with internal teams to ensure high-quality delivery of projects and integrations. - Manage timelines, tasks, and deliverables independently with strong ownership of assigned projects. - Document system configurations, deployment steps, and network/storage architecture. - Serve as a trusted technical advisor for clients and help guide best practices for scalable, secure infrastructure. --- Required Qualifications - Active CCNA (Cisco Certified Network Associate) or equivalent networking knowledge. - NetApp Certification (NCDA or NCIE) - required. - 2+ years of experience in datacenter or infrastructure engineering roles. - Storage platforms (NetApp, Dell EMC, Pure Storage,SAN/NAS concepts) - Compute systems (Cisco UCS, Dell PowerEdge) - Networking fundamentals (VLANs, VxLANS, routing, Layer 2/3 switching) - Excellent project management and organizational skills; able to run projects without micromanagement. - Exceptional documentation and communication skills for customer-facing work. - Must be willing and able to travel up to 80% across the U.S. --- Preferred Skills or Willing To Learn: - Experience designing or supporting AI or GPU-based compute environments (NVIDIA, Cisco, or Dell AI PODs). - Working knowledge of security technologies such as Fortinet, Palo Alto Networks, or Cisco Secure. - Familiarity with virtualization and cloud integration (VMware, Hyper-V, Azure, AWS). - Exposure to automation/orchestration tools (Ansible, Python, REST APIs). - Experience in hybrid or edge datacenter design and implementation. --- Soft Skills and Expectations - Self-starter with strong ownership of tasks and time management. - Thrives in fast-paced, customer-facing environments. - Clear communicator who can translate complex technical solutions into customer value. - Team-oriented professional who values collaboration and mentorship. - Flexible, innovative thinker who embraces learning and challenges. --- Why Join Olezka Global - Work directly with cutting-edge technologies in datacenter, AI, and cybersecurity. - Competitive base pay with clear growth and bonus opportunities. - A family-style culture that values teamwork, independence, and integrity. - Autonomy to manage your own success while contributing to meaningful projects. - Ongoing certification and learning opportunities to grow your career. - Be part of a fast-growing MSSP shaping the future of secure datacenter services. --- To Apply: Submit your résumé and a brief statement outlining your relevant experience and certifications. Candidates must be authorized to work in the United States and/or federal government contracts. --- Job Type: Full-time (W-2) Pay: $75,000 - $85,000 annually + Bonuses Location: Austin, TX (Preferred) / Texas-based candidates only Travel: 80% (Domestic)

This is an onsite role, 5 days a week. Competitive compensation and benefits. Sponsorship is not available for this role. The Senior Cybersecurity Engineer will act as the primary architect of our organization's digital defense, bridging the gap between Enterprise IT, Cloud Development, and Operational Technology (OT). This role is responsible for operationalizing our security strategy, advising our software development pipeline, and advising on the protection of industrial control systems. This role leads the technical implementation of CMMC 2.0 compliance while ensuring our manufacturing and cloud applications remain resilient against modern threats. Responsibilities: Secure Microsoft Azure environments by managing Entra ID (Identity), Defender for Cloud, and Sentinel. Configure and audit conditional access policies and resource grouping Own the roadmap to CMMC Level 2 assessment readiness. Manage the System Security Plan (SSP) and Plan of Action and Milestones (POAMs) specifically for Defense Industrial Base (DIB) requirements Conduct continuous security risk assessments, bridging the gap between technical vulnerabilities (CVSS scores) and business impact Oversee the lifecycle of vulnerability management, from scanning to patch verification, working closely with infrastructure teams to minimize downtime Develop and enforce policies regarding the use of Generative AI tools (LLMs) within the enterprise to prevent data leakage and IP loss Collaborate with development teams to integrate security scanners (SAST/DAST) into the CI/CD pipeline, ensuring Security by Design Translate complex cyber metrics into a "Risk Scorecard" for leadership, highlighting ROI on security investments and current threat levels Champion security awareness training, running phishing simulations and tabletop exercises to build organizational resilience Engage with key stakeholders in the development of contingency plans, business continuity strategies, and disaster recovery efforts, ensuring our organization's resilience Basic Qualifications: Bachelor's degree in computer science, information systems, or related degree Minimum 6 years of technical security experience Minimum 2 years specifically managing cloud security (Azure preferred) Proven experience preparing an organization for CMMC, NIST 800-171, or ISO 27001 audits Qualifications and Experience: Expert knowledge of NIST 800-171, CMMC 2.0, and SOC 2 standards Direct experience securing Microsoft Azure infrastructure Ability to manage risk assessments and threat modeling Skilled in writing technical policies, procedures, and SSPs Experience coordinating third-party audits and external assessments Knowledge of DevSecOps pipelines and OT/Industrial security Ability to work both independently and collaboratively, and handle ambiguity Excellent communication skills and ability to succinctly present recommendations Strong ability to prioritize competing deadlines in a fast-paced environment Adaptability to perform additional duties as business needs evolve We are an Equal Opportunity Employer and consider all qualified applicants for employment without discrimination based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ethnicity, genetic background, age, marital status, veteran status, disability, or any other legally protected status. When needed, reasonable accommodation will be made to help individuals with disabilities fulfill essential responsibilities.

Senior Java BE Engineers (Java, Spring Boot, MongoDB) Austin TX On Site - Amazon Web Services (AWS) - Amazon Web Services EKS (AWS EKS) - AWS-EC2Full Stack-Java - Git - GitHub - Grafana - Kafka - MongoDB - Redis - Splunk - Spring - Spring Boot - Spring Web Services - Experience working with a Platform that spans across multiple tenants like Support Communities, Developer Forums, and Education Forums. - Must-Have: 10+ more years with Java - 5+more years with Mongo, and hands on experience with AI tools like [ RooCode and Claude ] - design and development of highly available, distributed and scalable enterprise systems. - SpringBoot, Redis, MongoDB, Kafka, and MicroServices architecture. - AWS deployments, scaling and EKS cluster management - GIT, PR process, CI/CD Pipelines and deployments. - Experience and strong knowledge in developing high throughput, high performance, and zero downtime systems. - Experience in performance tuning of the applications including JVM tuning, memory profiling, deadlocks and heap analysis. - Strong knowledge of customer facing web application development, HTTP specs, Load- balancing and understanding of CDN. - Experience with Java test frameworks such as JUnit and test NG and Familiarity with automated testing methodologies and frameworks. - Familiarity with template driven rendering and client and server side MVC architectures - Familiarity with Splunk for investigating or monitoring problems on systems. - Thorough understanding of Software Development Lifecycle, tools and agile methodologies. - Sharp troubleshooting skills and real world systems deployment experience.

Minimum Requirements: · Expertized in developing and debugging embedded software / firmware using C / C++ programming language. · Proficient with Linux development, debugging (gdb, strace), and kernel logs (dmesg, journalctl). · Experienced in writing systemd services, DBus interfaces, and Python or shell scripts. · Hands-on experience with OpenBMC, Yocto Project, and BitBake. · Good understanding of device tree, Linux kernel configuration, and system demons (phosphor-* services). · Strong analytical skills and pronounced attention to details. · Familiar with Git, Gerrit/GitHub, CI pipelines. Preferred Requirements: · Experience and knowledge with the following protocols and standards: · MCTP (Management Component Transport Protocol), · PLDM (Platform Level Data Model), · SPDM (Security Protocol and Data Model), · FRU and Sensor Management · Experience in BMC bring-up and integrating BMC on Aspeed or Nuvoton SoCs (e.g., AST2600). · Experience with board/platform-level debug, analysis and optimization. · Understanding digital processing and electronics is an asset. · In-depth knowledge of CPU / APU architecture is an asset. · Good understanding of computer architecture. · Laboratory experience, including familiarity with oscilloscopes, logic analyzers, etc.

This is a great chance to join a multinational company that designs and builds advanced electrical systems and provides innovative solutions across the aerospace, defense, transportation, and security markets. Job Title: Cassandra Database Engineer Location: Austin, TX 78759 (Hybrid) Pay Rate: $120/hr on W2 (Weekly pay + Benefits) Contract: 6 months Position Overview Looking for an experienced Cassandra Database Engineer with strong NoSQL and Public Cloud (AWS/GCP) expertise. The role focuses on database operational activitiesnot architecture or design. Key Responsibilities Database performance analysis & optimization Incident response & alert management Database installation, patching, and change management Restore & recovery testing Database monitoring & hardening Operations support for production & project teams Required Skills 810 yrs Cassandra Administration (not design/architecture) Public Cloud deployment (AWS/GCP) Linux OS expertise Database operations & troubleshooting Monitoring tools GitLab, Terraform, Datadog Excellent communication skills (spoken & written English) DataStax Enterprise Cassandra experience preferred Preferred Qualifications Bachelors in Computer Science Strong production environment experience Knowledge of Kubernetes & Docker #TMN

This role is categorized as hybrid. This means the successful candidate is expected to report to offices in Austin, TX, Mountain View, CA or the Greater Seattle Area three times per week, at minimum [or other frequency dictated by the business if more than 3 days]. The Role As an engineer on this team, you will be responsible for building and supporting a petabyte-scale data platform in the cloud and providing powerful foundations for GM ML Data Platform tools, frameworks, and services. Responsibilities include ensuring scalable, transparent, and reliable data ingestion and management; development of fast, robust, and spike-resistant data consumption, data mining, and processing tools for the entire company; and development of orchestration for large-scale post-processing, and computational pipelines. What You'll Do Lead us in the development, optimization and productionization of the next generation ML data processing platform using Beam and Spark in the cloud. Build self-serve capabilities to help customers to adopt the next generation ML data processing platform Use the latest cloud technologies to own, design, implement, and test scalable distributed data systems in the cloud. Champion engineering excellence by continuously improving systems and processes Own technical projects from start to finish, contribute to the team's product roadmap, and be responsible for major technical decisions and tradeoffs. Effectively participate in team's planning, code reviews and design discussions Consider the effects of projects across multiple teams and proactively manage conflicts. Work together with partner teams and orgs to achieve cross-organizational goals and satisfy broad requirements Conduct technical interviews with well-calibrated standards and play an essential role in recruiting activities. Effectively onboard and mentor junior engineers and/or interns Your Skills & Abilities (Required Qualifications) 10+ years working with big data Bachelor's in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience Experience building ML data processing systems using Beam / Spark and its ecosystems from the ground up. Experience optimizing those data processing clusters for cost efficiency and performance Experience building serving systems capable of delivering data at high-throughput, low-latency and high QPS in a cost-efficient and spike-resilient manner. Experience building full ML model lifecycle solutions - from feature engineering to training, validation, deployment and monitoring. Experience building scalable infrastructure on the cloud with Python or Java/Scala (or similar) Passionate about self-driving technology and its potential impact on the world Attention to detail and a passion for seeking truth A track record of efficiently solving complex problems Startup mentality - openness to dealing with unknown unknowns and wearing many hats What Can Give You a Competitive Advantage (Preferred Qualifications) MS or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field Demonstrable expertise in a building end-to-end data ingestion, processing and serving systems at petabyte scale from the ground up Proficiency in writing SQL queries for analytic purposes Relevant publications This job may be eligible for relocation benefits. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. Compensation: The expected base compensation for this role is: $165,000 - $298,800. Actual base compensation within the identified range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. #LI-CC1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Come help organizations be their best, while you reach new heights with a team that has your back. **Meet the Team:** Our Distinguished Engineer team drives architecture and technical direction for Splunk's $3.5B platform, ingesting petabytes of data for over 95% of the Fortune 100. As a tight-knit group of DEs reporting to the VP of Architecture, we operate autonomously while coordinating closely on practical, durable solutions that evolve the platform for future requirements. Each DE owns cross-organizational domains that shift fluidly as needs arise. Work alongside exceptionally smart engineers who value rigorous thinking and friendly collaboration-this is where the technical future gets defined! **Impact:** Architect and operationalize Spark at scale as a core component of Cisco Data Fabric, enabling customers to access and analyze exponentially more data across diverse organizational sources. Build resilient, always-on infrastructure with automatic retry logic, fault tolerance, and seamless integration across myriad data sources and formats including Parquet, Iceberg, and modern table formats. Design the operational backbone-monitoring, observability, error handling, and horizontal scalability-that enables hundreds of engineers to build features confidently on solid foundations. Establish architectural patterns and support mechanisms that ensure high availability while maintaining performance at petabyte scale. Success is measured by customer adoption of data fabric capabilities and operational reliability metrics-uptime, ingestion performance, and incident reduction-that directly impact customer value. **Minimum Qualifications:** + Bachelor's in Computer Science (or equivalent) with 15+ years of related experience; or Master's with 12+ years; or PhD with 8+ years or equivalent experience + Designed and deployed production Spark deployments at scale in cloud environments + Experience with modern data formats including Parquet, Iceberg, and related table/columnar formats + Production experience with AWS cloud platform + Led technical decisions and architectural direction across engineering organizations of 50+ engineers **Preferred Qualifications:** + Production experience with Azure and/or GCP cloud platforms + Experience integrating with diverse data platforms such as Snowflake, Pinot, Databricks, Trino, or similar systems + Extensive Kubernetes experience in production environments + Proven track record mentoring and growing engineers, with strong collaboration skills across sponsors, design, product management, and engineering teams **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $267,600.00 to $339,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $273,200.00 - $442,600.00 Non-Metro New York state & Washington state: $267,600.00 - $390,300.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

At Branch, we're transforming how brands and users interact across digital platforms. Our mobile marketing and deep linking solutions are trusted to deliver seamless experiences that increase ROI, decrease wasted spend, and eliminate siloed attribution. Our Branch team consists of smart, humble, and collaborative people who value ownership over all. Everything we do is centered around creating a great product, team, and company that lives and breathes our motto: Build Together, Grow Together, Win Together. As a Staff Systems Engineer, you will lead our platform infrastructure team in building and maintaining the services that power mobile experiences for top companies worldwide. We process billions of API transactions daily and are growing rapidly. We seek a passionate and experienced leader to drive the evolution of our platform infrastructure within a large, complex public cloud environment. If you thrive on solving challenging problems at scale and mentoring teams to deliver exceptional results, we need your expertise! As a Staff Systems Engineer you'll get to: Define and drive the strategic vision and roadmap for platform infrastructure. Lead and drive major platform stability projects by identifying opportunities with significant ROI. Collaborate closely with technical leadership to plan, execute, and deliver measurable improvements across the infrastructure landscape. Architect and implement complex systems that enhance reliability, automation, operability, and performance at scale. Work collaboratively with product engineering teams, security teams and data engineering teams to refine requirements and ensure alignment with business goals. Tackle challenging technical problems head-on, providing solutions that maintain system integrity under pressure. Lead debugging efforts for critical issues and develop robust strategies to prevent future occurrences. Mentor junior engineers and specialists, fostering a culture of continuous learning and development. Contribute to team growth by sharing your expertise and encouraging innovation. Conduct thorough audits of infrastructure costs to identify opportunities for waste reduction. Implement strategies that enhance efficiency without compromising performance or security. Stay abreast of emerging technologies and industry trends. Be prepared to adapt quickly, learning new languages or platforms as needed to meet evolving project requirements. If this does not intimidate you, and you're eager to dive in and get the job done you will be right at home. You'll be a good fit if you have: Must have Linux, AWS, Kafka, Python/Java/Golang & Terraform. Extensive Industry Experience (8+ years): Proven track record in managing production Linux systems within large-scale cloud environments. Leadership and Ownership: Demonstrated ability to lead projects from conception through delivery, ensuring ownership of features and systems with a results-driven approach. High attention to detail and a strong desire for continuous improvement. Distributed Systems Architecture: Strong experience in architecture and administration of large-scale distributed systems (e.g., Aerospike, Kafka, FoundationDB, StarRocks, and Elasticsearch) and high-volume web deployments on frameworks like nginx, Node.js, JVM. Observability and Monitoring Systems: Experience with observability tools such as Prometheus, Grafana, Loki, ELK stack, or similar systems to ensure comprehensive infrastructure monitoring and alerting. Cloud Infrastructure Expertise: Strong experience with AWS services (EC2, RDS, DynamoDB, ELBs, etc.) and designing scalable cloud infrastructure solutions. Familiarity with other major cloud providers is a plus. Configuration Management: Proficiency with modern configuration management tools such as Terraform, SaltStack, Ansible, Packer, etc., to automate infrastructure deployment and management. OSS Database Management: Strong expertise in operating open-source databases on AWS, including Postgres, MySQL, Redis, etc. Developer Operations Management: Experience with scalable CI/CD pipelines and polyglot environments using GitOps practices and Github Actions. Bonus points for any of the following Familiarity with container management and orchestration platforms such as Kubernetes Familiarity with Big Data frameworks and data pipeline management. Familiarity with large monorepo environments and build tools such as Bazel. Familiarity with foundational AI/ML infrastructure building blocks such as AWS Bedrock, AWS SageMaker, etc. Strong experience operating Java and JVM-based systems. Strong experience with network design and DNS infrastructure. This role will be based at our Austin, TX office and follows a Hybrid schedule that will be aligned with our Return to Office guidelines. This role does not qualify for visa sponsorship. In accordance with applicable law, the following represents a reasonable estimated compensation range for this role: the estimated pay range for this role, if based in Austin, TX, is $169,000 - $215,000.Please note that this information is provided for those hired in Austin, TX only. Compensation for candidates outside of Austin, TX will be based on the candidate's specific work location. Actual compensation will be determined based on skills, experience, and geographic location and may be more or less than the amount shown above. The salary range provided represents base compensation and does not include potential equity, which is available for qualifying positions. At Branch, we are committed to the well-being of our team by offering a comprehensive benefits package. From health and wellness programs to paid time off and retirement planning options, we provide a range of benefits for qualified employees. For detailed information on the benefits specific to your position, please consult with your recruiter. Branch is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. If you think you'd be a good fit for this role, we'd love for you to apply! At Branch, we strive to create an inclusive culture that encourages people from all walks of life to bring their unique, diverse perspectives to work. We aim every day to build an environment that empowers us all to do the best work of our careers, and we can't wait to show you what we have to offer! A little bit about us: Branch is the leading provider of engagement and performance mobile SaaS solutions for growth-focused teams, trusted to maximize the value of their evolving digital strategies. The Branch platform provides a seamless experience across paid and organic, on all channels and platforms, online and offline, to eliminate friction and drive valuable action at the moments of highest intent. With Branch, businesses gain accurate mobile measurement and insights into user interactions, enabling them to drive conversions, engagement, and more intelligent marketing spend. Branch is an award-winning employer headquartered in Mountain View, CA. World-class brands like Instacart, Western Union, NBCUniversal, Zocdoc and Sephora acquire users, retain customers and drive more conversions with Branch. Candidate Privacy Information: For more information on the data that Branch will collect through your application, and how we use, share, delete, and retain that information as part of our recruitment and employment efforts, please see our HR Privacy Policy.

Current openings at Nextiva Redefine the future of customer experiences. One conversation at a time. At Nextiva, we're reimagining how businesses connect, bringing together customer experience and team collaboration on a single, conversation centric platform. Powered by AI, driven by human innovation. Our culture is forward thinking, customer obsessed and built on the belief that meaningful connections drive better business outcomes. Whether it's through our signature Amazing Service, the technology we create, or the experiences we cultivate, connection is at the core of who we are. If you're ready to collaborate with incredible people, make an impact, and help businesses everywhere deliver truly amazing experiences, this is where you belong. Build Amazing. Deliver Amazing. Live Amazing. Be Amazing. Create a Job Alert Level-up your career by having opportunities at Nextiva sent directly to your inbox. Create alert Search Department Select... Office Select... 35 jobs Billing Job Customer Service - Billing Specialist Guadalajara, Jalisco (In Office) Customer Care Job Customer Care Specialist - Retention Guadalajara, Jalisco (In Office) Technical Support Job Technical Support Representative INew Guadalajara, Jalisco (In Office) Marketing Job Conversion Copywriter Scottsdale, Arizona (In Office) Growth Marketing Specialist Scottsdale, Arizona (In Office) Head of Brand Scottsdale, Arizona (In Office) Head of Campaigns Scottsdale, Arizona (In Office) LLM Optimization (AI SEO / GEO) Scottsdale, Arizona (In Office) Product Marketing Job Product Marketing Manager Scottsdale, Arizona (In Office) Experience Cloud Job Principal Product Manager (QM / WEM / WFM) Bangalore, Karnataka (Hybrid); Chennai, Tamil Nadu (Hybrid) Staff Engineer (Java) Bangalore, Karnataka (Hybrid) Intelligence Job Director, Product Management (AI Agents) Canada (Remote) Director, Product Management (AI Agents) United States (Remote) Engineering Manager (AI Agents Team) Canada (Remote) Engineering Manager (AI Agents Team) United States (Remote) Senior Product Manager (AI Agents) United States (Remote) Senior Product Manager (AI Agents) Canada (Remote) Software Engineer (AI / NLP / ML) Chennai, Tamil Nadu (Hybrid) Tech Lead (Java) Bangalore, Karnataka (Hybrid) Partner Ecosystem & Verticals Job Engineering Manager (Full Stack) Chennai, Tamil Nadu (Hybrid) Senior Software Engineer (Java) New Chennai, Tamil Nadu (Hybrid) Senior Technical Product Manager (Healthcare) United States (Remote) Product Design Job Senior Product Designer Bangalore, Karnataka (Hybrid) Senior Product Designer Chennai, Tamil Nadu (Hybrid) Product Development Job Principal Product Manager (Voice Platform) Chennai, Tamil Nadu (Hybrid) Principal Product Manager (Voice Platform) Bangalore, Karnataka (Hybrid) Senior Voice & Video Platform DSP Engineer Chennai, Tamil Nadu (Hybrid) Senior Voice & Video Platform DSP Engineer Bangalore, Karnataka (Hybrid) Technology (General) Job Senior Site Reliability Engineer (Middleware) Chennai, Tamil Nadu (Hybrid) Senior Site Reliability Engineer (Middleware) Bangalore, Karnataka (Hybrid) Business / Sales Development Job Business Development RepresentativeNew Scottsdale, Arizona (In Office) Commercial Sales Job Commercial Account Executive Scottsdale, Arizona (In Office) Customer Expansion (Up-Market) Job CX Associate United States (Remote) Mid-Market Sales Job Lower Mid-Market Account Executive New Scottsdale, Arizona (In Office) Mid-Market Account ExecutiveNew United States (Remote)

Apptronik is building robots for the real world to improve human quality of life and to help solve the ever-increasing labor shortage problem. Our team has been building some of the most advanced robots on the planet for years, dating back to the DARPA Robotics Challenge. We apply our expertise across the full robotics stack to some of the most important and impactful problems our society faces, and expect our products and technology to change the world for the better. We value passion, creativity, and collaboration to help us overcome existing technological barriers in the industry to create truly innovative products. You will join a team developing state-of-the-art general-purpose robots designed to operate in human spaces and with human tools. It is designed to work alongside humans, mobilize to human spaces, and manipulate the world around it. JOB SUMMARY As a Staff Systems Engineer for robot software, you play a pivotal role in the development of advanced, general-purpose robots designed to operate in human environments and work with human tools. This position demands a high degree of ownership and responsibly, driving projects across the engineering from conception to completion. You will be responsible for leading software design project efforts for general and specific use and test cases. ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES: Drive cross-functional engineering teams to design, develop and maintain scalable and reliable platform software solutions that support the deployment and operating of robotic systems. Lead cross-functional, multidisciplinary teams to develop software requirements, architectures, implementation schedules, and test plans for full-stack robotic systems. Lead and support Root Cause Analysis on complex hardware-software-control integration and operational bugs. Design and develop APIs, services and frameworks to allow for unique prototype robot use cases, research and development investigations as well as off nominal test scenarios. Troubleshoot and debug complex issues in both development and production environments, ensuring rapid prototyping and minimal downtime. Design and develop fault detection, diagnostics, and recovery plans to enhance system robustness and uptime. Support the validation team by developing segmented robot or subsystem control software to allow for efficient test execution and data collection SKILLS AND REQUIREMENTS: Strong modern C++, OOP skills, multi-threading, and Linux application development Experience with container orchestration technologies (Kubernetes, Docker). Communication networking (EtherCAT, CAN) Proficiency with robotics packages (ROS, URDF, MuJoCo, Eigen, etc.) Proven experience with controls software integration, especially with hardware abstraction layers for sensors and actuators Strong understanding of distributed systems, microservices architecture, and API design principles. EDUCATION and/or EXPERIENCE: Bachelor's degree in computer science, Engineering, or related field; master's degree in computer science or equivalent preferred. 8+ years of experience in software engineering, with a focus on RTOS and software design for real-time / latency-sensitive systems. PHYSICAL REQUIREMENTS: Prolonged periods of sitting at a desk and working on a computer Must be able to lift 15 pounds at times Vision to read printed materials and a computer screen Hearing and speech to communicate Perks: Competitive salary w/ benefits Highly motivating equity incentive package Flexible work hours policy Professional development opportunities Generous Paid Time Off (PTO) 401k plan *This is a direct hire. Please, no outside Agency solicitations. Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

We are seeking a skilled Staff Systems Engineer to join a team developing state-of-the-art general-purpose robots designed to operate in human spaces and with human tools. It is designed to work alongside humans, mobilize to human spaces, and manipulate the world around it. The ideal candidate values passion, creativity, and collaboration to help us overcome existing technological barriers in the industry to create truly innovative products. This position requires experience in robotics systems design, scaling complex systems, and the ability to balance technical vision with pragmatic execution. This individual must be able to thrive in a fast-paced, cross functional development environment. - Architect and evolve robot hardware and software platforms, driving reliability, modularity, scalability, and maintainability. - Help drive systems requirement definition and integration across hardware, embedded controls, capabilities, and operator interfaces. - Design for real-time performance, fault tolerance, and reliability in a production environment. - Collaborate with hardware, software and operation teams to ensure seamless robot operations and fleet-level orchestration. - Design and develop requirements for real-time monitoring, data logging and remote diagnostics for production scale robot fleets. - Drive and support root cause failure analysis and fault recovery mechanism to enhance uptime and performance. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements - 9+ years in systems and/or software engineering with at 2+ in complex robotics systems or autonomous systems - Professional experience in designing and scaling complex hardware and software systems for real-time robotics applications - Strong understanding of robotics architecture patterns, real-time control loops, sensor fusion, SLAM and distributed systems - Expertise in C++, Python, and system lead development (RTOS, Linux, embedded Linux) - Extensive experience with ROS2, DDS and real-time communication protocols - Strong background in systems architecture, software abstraction layers and interface design - Experience with software reliability engineering, including logging, telemetry, debugging, and automated test frameworks - Adaptable and comfortable with ambiguity in an R&D focused environment - Hands-on experience scaling robot fleets in industrial or warehouse environments - Proven leadership in shipping production grade robotics platforms in manufacturing, logistics, autonomous systems or related domains - Familiarity with safety standards (e.g. ISO 10218, IEC 61508) and compliance in robotic deployments - Experience with AI/ML systems integration into real-time robotic applications

Engineering Leader The Engineering Leader plays a critical role in a fast-growing startup environment, guiding the technology organization, shaping long-term technical strategy, and ensuring the delivery of high-quality, scalable, and reliable solutions for the their Platform. This role requires a hands-on, innovative leader with deep engineering expertise and strong experience in AI/ML, data engineering, and SaaS platform development. The Engineering Leader partners closely with product, design, and cross-functional teams to drive rapid innovation, build foundational processes, and help scale the platform and team as the company grows. This leader will also oversee and manage a distributed engineering team, including direct reports located outside of the United States. Key Responsibilities Technical Strategy & Vision Define and communicate a forward-looking technical strategy aligned with company goals. Integrate advancements in AI/ML, scalable data pipelines, and modern SaaS practices to enhance platform capabilities and maintain competitive advantage. AI & Machine Learning Leadership Lead the development, training, and fine-tuning of AI/ML models, supporting the launch and evolution of white-labeled LML solutions. Partner with product and data teams to identify meaningful AI opportunities and ensure responsible and effective model deployment. Data Engineering & Pipelines Oversee the creation, optimization, and reliability of data pipelines that power machine learning, analytics, and intelligent product features. Ensure data systems are scalable, secure, and built for rapid experimentation and iteration. Leadership & Global Team Development Build, mentor, and inspire a high-performing, geographically distributed engineering team. Manage direct reports located internationally and foster a collaborative, inclusive culture that promotes alignment, accountability, and technical excellence across borders. SaaS Platform Development Lead engineering for a multi-tenant SaaS platform, ensuring exceptional performance, security, scalability, and customer experience. Drive architectural decisions that support rapid iteration and long-term product evolution. Product Development & Delivery Oversee the complete software development lifecycle to consistently deliver features and enhancements on time and at high quality. Champion agile methodologies and CI/CD practices that improve reliability and development velocity. Cross-Functional Collaboration Work closely with Product, Operations, Design, and GTM teams to align on priorities, requirements, and workstreams. Maintain transparent communication to ensure smooth execution and strong cross-functional outcomes. Operational Excellence & Reliability Define and track engineering KPIs across uptime, performance, customer satisfaction, and delivery efficiency. Lead continuous improvements in observability, security, and platform stability. Innovation & Continuous Improvement Cultivate a culture that encourages experimentation, emerging technology adoption, and continuous improvement across engineering practices-especially in AI and data-driven capabilities. Architecture & System Design Guide architectural direction to ensure platform scalability, maintainability, and alignment with long-term business and AI/ML integration goals. Resource & Budget Management Manage budgets, tooling, infrastructure investments, and global headcount planning. Make data-driven decisions to optimize resources and maximize ROI. Risk Management & Compliance Identify and mitigate technical, operational, and data-related risks. Ensure engineering practices adhere to industry standards for compliance, privacy, security, and responsible AI use. Executive Communication & Reporting Provide clear, consistent updates to the executive team on engineering performance, initiatives, and strategy. Represent engineering in leadership discussions and influence company-wide decision-making. #TECHIND

Junior Services Implementation Engineer Travel: Up to 80% (Domestic; frequent travel to CA, NV, TX, AZ, FL, NY, and other states) Employment Type: Full-time, W-2 Compensation: $50,000 - $60,000 annually + Bonuses + Career Growth --- About Olezka Global Olezka Global is a Managed Security Services Provider (MSSP) headquartered in Austin, Texas, focused on delivering Security-as-a-Service, network integration, and modern infrastructure solutions for mid-market customers across the U.S. We're a small, fast-growing company that operates more like a family than a corporation. Our culture is hands-on, collaborative, and built around mutual respect and growth. If you're tired of the corporate ladder and looking for a place where your work matters, your ideas are heard, and your potential is supported, Olezka Global is the team for you. --- About the Role Olezka Global is seeking a Junior Services Implementation Engineer - an ambitious and driven individual who wants to build a long-term career in modern cybersecurity and infrastructure engineering. This role is perfect for someone who's ready to get their hands dirty - from pulling and terminating cables, racking and stacking hardware, and configuring firewalls to troubleshooting connectivity and supporting field implementations. You'll work with technologies from Fortinet, Cisco, Dell, and Verkada, gaining real-world experience across networking, security, and physical infrastructure. You'll be traveling across the country - often on short notice - supporting deployments, installations, and customer engagements in diverse environments ranging from datacenters to corporate campuses. --- Responsibilities - Assist in implementing and supporting Fortinet, Cisco, Dell, and Verkada technologies. - Perform on-site work such as racking and stacking, cable pulling, and termination. - Configure and troubleshoot network switches, firewalls, and access points. - Support camera and access control deployments across customer environments. - Manage and oversee subcontractors during on-site implementation projects. - Stage and prepare equipment at the Austin office before deployment. - Travel to customer sites across the U.S. (up to 80%) for project work and support. - Communicate project progress, timelines, and updates clearly to management and customers. - Maintain detailed documentation of installations, configurations, and site work. - Manage your own time effectively and ensure deliverables are completed on schedule. --- Required Qualifications - 1-3 years of hands-on IT, networking, or field engineering experience. - Strong mechanical aptitude - comfortable with cabling, physical installations, and hardware setup. - Basic understanding of networking (IP addressing, VLANs, subnets, etc.). - Willingness to travel frequently (by car or air) and work independently in the field. - Excellent communication and organizational skills. - Ability to adapt quickly, troubleshoot issues, and work under limited supervision. - Must reside in the Austin area and be able to come into the office for equipment staging and team collaboration. - Active CCNA (Cisco Certified Network Associate) or equivalent networking knowledge. - Active Fortinet Certification and/or equivalent security knowledge. --- Preferred Skills - Experience with or interest in learning: - Fortinet, Cisco, Dell, Rapid7, Tenable, Auvik and Verkada technologies. - Network cabling and structured wiring. - Firewall configuration and basic security principles. - Experience in customer-facing or service-oriented roles. - Project coordination or subcontractor management experience. --- Soft Skills and Expectations - Eager to learn and grow into a modern security and infrastructure engineer. - Self-starter who takes ownership of tasks and projects. - Comfortable balancing field work with technical problem-solving. - Excellent communicator who can represent the company professionally on-site. - Adaptable, proactive, and dependable under pressure. --- Why Join Olezka Global - Opportunity to grow your career into a Senior Security Engineer or Project Management - Direct hands-on exposure to industry-leading technologies and customer environments. - Competitive pay with bonus potential and advancement opportunities. - A family-like culture that values teamwork, growth, and integrity. - Work with a supportive team that encourages independence and professional development. - Be part of a fast-growing MSSP delivering cutting-edge solutions nationwide. --- To Apply: Submit your résumé and a brief statement about your career goals and relevant experience. Candidates must be authorized to work in the United States and/or capable of working for federal government. --- Job Type: Full-time (W-2) Pay: $50,000 - $60,000 annually + Bonuses Location: Austin, TX (Preferred) Travel: 80% (Domestic)

Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Come help organizations be their best, while you reach new heights with a team that has your back. **Meet the Team** Our Distinguished Engineer team drives architecture and technical direction for Splunk's $3.5B platform, ingesting petabytes of data for over 95% of the Fortune 100. As a tight-knit group of DEs reporting to the VP of Architecture, we operate autonomously while coordinating closely on practical, durable solutions that evolve the platform for future requirements. Each DE owns cross-organizational domains that shift fluidly as needs arise. Work alongside exceptionally smart engineers who value rigorous thinking and friendly collaboration-this is where the technical future gets defined! **Impact:** Architect and operationalize AI infrastructure as a core component of Cisco Data Fabric, enabling engineering teams to integrate AI capabilities across the world's largest, most diverse data sets. Design MLOps platforms that solve complex lifecycle challenges-managing embedding model migrations, version compatibility, and continuous model updates-while ensuring operational excellence through monitoring, governance, and serving at petabyte scale. Identify and drive new opportunities for leveraging AI across the stack, establishing consistent architectural patterns for agent prompts, tool integration, and model orchestration. Build data pipelines and operational frameworks that enable hundreds of engineers to confidently deploy both LLMs and traditional ML models into production. Success is measured by customer adoption and usage of AI-powered features, alongside operational metrics-model performance, inference latency, and deployment velocity-that directly impact customer value. **Minimum Qualifications:** + Bachelor's in Computer Science (or equivalent) with 15+ years of related experience; or Master's with 12+ years; or PhD with 8+ years or equivalent experience + Designed and deployed AI/ML infrastructure and features in production cloud environments + Experience with major AI services including OpenAI, Anthropic, HuggingFace, AWS Bedrock, Azure OpenAI Service, or similar platforms + Production experience with AWS, Azure, or GCP cloud platform + Led technical decisions and architectural direction across engineering organizations of 50+ engineers **Preferred Qualifications:** + Experience with LLM-specific infrastructure including agent frameworks, prompt management, and tool integration + Model serving at scale with experience in inference optimization and performance monitoring + Designed and deployed AI/ML infrastructure for on-premises environments + Experience with major ML frameworks (TensorFlow, PyTorch, etc.) and model formats + Proven track record mentoring and growing engineers, with strong collaboration skills **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $267,600.00 to $339,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $273,200.00 - $442,600.00 Non-Metro New York state & Washington state: $267,600.00 - $390,300.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

We are seeking a skilled Senior Systems Engineer to join a team developing state-of-the-art general-purpose robots designed to operate in human spaces and with human tools. It is designed to work alongside humans, mobilize to human spaces, and manipulate the world around it. This group is building some of the most advanced robots on the planet, dating back to the DARPA Robotics Challenge, and applying their expertise across the full robotics stack. The ideal candidate values passion, creativity, and collaboration to help us overcome existing technological barriers in the industry to create truly innovative products. This position requires experience in robotics systems design, scaling complex systems, and the ability to balance technical vision with pragmatic execution. This individual must be able to thrive in a fast-paced, cross functional development environment. - Architect and evolve robot hardware and software platforms, driving reliability, modularity, scalability, and maintainability. - Help drive systems requirement definition and integration across hardware, embedded controls, capabilities, and operator interfaces. - Design for real-time performance, fault tolerance, and reliability in a production environment. - Collaborate with hardware, software and operation teams to ensure seamless robot operations and fleet-level orchestration. - Design and develop requirements for real-time monitoring, data logging and remote diagnostics for production scale robot fleets. - Drive and support root cause failure analysis and fault recovery mechanism to enhance uptime and performance. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements - 9+ years in systems and/or software engineering with at 2+ in complex robotics systems or autonomous systems - Professional experience in designing and scaling complex hardware and software systems for real-time robotics applications - Strong understanding of robotics architecture patterns, real-time control loops, sensor fusion, SLAM and distributed systems - Expertise in C++, Python, and system lead development (RTOS, Linux, embedded Linux) - Extensive experience with ROS2, DDS and real-time communication protocols - Strong background in systems architecture, software abstraction layers and interface design - Experience with software reliability engineering, including logging, telemetry, debugging, and automated test frameworks - Adaptable and comfortable with ambiguity in an R&D focused environment - Hands-on experience scaling robot fleets in industrial or warehouse environments - Proven leadership in shipping production grade robotics platforms in manufacturing, logistics, autonomous systems or related domains - Familiarity with safety standards (e.g. ISO 10218, IEC 61508) and compliance in robotic deployments - Experience with AI/ML systems integration into real-time robotic applications