• Demonstrates an understanding of signal flows, signal measurements, and operational procedures • Monitors and performs quality control on live event and linear acquisition signals across multiple transport formats • Collaborates with internal teams and external partners to support the acquisition, monitoring, and distribution of live feeds • Troubleshoots and resolves day-to-day operational issues to ensure reliable signal delivery and service continuity • Follows and executes established Standard Operating Procedures (SOPs) and workflows for assigned transmission and distribution responsibilities

Role Description Positron AI is building next-generation AI inference accelerators, starting with our first ASIC, Asimov, with additional generations already underway. As Principal DFT Engineer, you'll own DFT and DFx strategy end-to-end: - Defining the DFT architecture for our accelerators - Integrating it into internal RTL and third-party IP - Driving implementation with our backend design partner - Ensuring high-quality silicon bring-up through comprehensive pre-silicon validation This is a hands-on, technical ownership role spanning architecture through tapeout and into first silicon, not a coordination role. Qualifications - BS, MS, or PhD in Electrical Engineering or Computer Engineering - 12+ years of ASIC development experience - Extensive hands-on DFT implementation experience on complex SoCs, with multiple successful production tapeouts - Strong understanding of scan architectures, ATPG, memory BIST, logic BIST, boundary scan, IJTAG, test compression, fault models, and structural coverage analysis - Experience with leading DFT tool suites (e.g., Siemens Tessent, Synopsys TestMAX DFT, Cadence Modus, or equivalent) - Strong RTL skills using Verilog/SystemVerilog - Experience with synthesis and gate-level verification - Strong scripting skills (Python, Tcl, Perl, or similar) - Excellent debugging skills across RTL, netlists, and silicon test - Demonstrated ability to drive technical execution across cross-functional engineering teams Requirements - Own the Positron DFT strategy - Define and maintain the DFT architecture for Asimov and future ASIC generations - Develop long-term DFT and DFx roadmaps aligned with product quality, manufacturing, yield, diagnostics, and reliability objectives - Establish DFT design standards, review processes, signoff criteria, and best practices across the engineering organization - Hands-on DFT implementation - Architect and implement scan insertion, compression, ATPG, memory BIST, logic BIST (where appropriate), boundary scan / IEEE 1149.x, IJTAG / IEEE 1687 infrastructure, and debug/observability features - Integrate DFT into internally developed RTL - Evaluate and integrate DFT capabilities from third-party IP providers - Work directly in RTL, synthesis, and DFT tool flows - Drive pre-silicon DFT verification - Develop comprehensive DFT verification plans - Validate DFT functionality through simulation and gate-level verification - Ensure structural coverage targets are achieved before tapeout - Drive DDA, stuck-at, transition, cell-aware, and power-aware ATPG strategies - Own DFT signoff - Partner with Physical Design - Work closely with backend implementation teams to ensure successful physical realization of DFT architecture - Guide scan chain partitioning, compression planning, and test clock architecture - Address power-aware test implementation, timing closure considerations, and test mode integration - Own external DFT execution - Serve as Positron's technical lead for all DFT work performed by external design services partners - Review implementation quality and conduct design reviews - Drive issue resolution - Define deliverables and acceptance criteria - Ensure external work meets Positron quality standards - Cross-functional leadership - Partner closely with RTL designers, design verification, physical design, package and test engineering, firmware, system software, and silicon validation to ensure DFT is designed in from architecture through silicon bring-up - AI-enabled engineering - Leverage modern AI tools to improve engineering productivity, including automated review of DFT reports, ATPG analysis, coverage analysis, regression triage, documentation generation, workflow automation, and agentic engineering assistants - Continuously evaluate new AI techniques that accelerate DFT development while improving quality Benefits - Be part of a rapidly growing AI startup shaping the future of AI hardware - Work on groundbreaking technology with a highly skilled and passionate team - Competitive salary, equity, and comprehensive benefits package - Flexible work environment with remote work options Compensation and Benefits The base salary range for this role is $200,000 – $350,000. Please note that the figures provided represent the base salary range only and do not include other elements of our total compensation package, equity, or comprehensive benefits. At Positron AI, we value the unique expertise each candidate brings. While the range above reflects our typical expectation for the position, we reserve the flexibility to exceed this range for candidates whose specialized skills, significant experience, or unique qualifications fall outside the standard scope of the role. Final offers are determined based on a variety of factors, including internal equity and individual impact. Equal Opportunity Employer. If you’re excited about the role but don’t meet every bullet, we’d still love to hear from you.

Role Description The Senior Planning Engineer is responsible for forecasting, planning, and engineering capacity solutions across Lumen's core transport network. This role ensures network readiness through proactive headroom management, DWDM network augmentation, and execution of capacity expansion projects to support customer and business growth. Main Responsibilities - Forecast network growth and identify capacity constraints. - Develop and execute DWDM network augmentation and bandwidth relief plans. - Create and manage NetBuilds, Statements of Work, and implementation requirements. - Maintain network headroom and support capacity jeopardy mitigation efforts. - Coordinate with Engineering, OSP, Operations, Supply Chain, PMO, and implementation teams to deliver network expansions. - Analyze network performance, provide forecasting and reporting, and support capital planning activities. - Drive process improvements, automation, and operational efficiencies within Network Planning. Qualifications - Bachelor's degree or equivalent experience. - 6+ years of network planning, telecommunications, or transport engineering experience. - Strong knowledge of DWDM networks, optical transport technologies, and capacity planning. - Experience managing complex infrastructure projects and cross-functional initiatives. - Strong analytical, communication, and problem-solving skills. Preferred Qualifications - Experience with Ciena, Infinera, or Nokia optical platforms. - Knowledge of fiber characterization and transport network design. - Experience with headroom management, RapidRoute, Core Waves, DCE, or large-scale network expansion programs. - Prior Lumen planning or transport engineering experience preferred. Compensation This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. - $84,629 - $112,838 in these states: AL, AR, AZ, FL, GA, IA, ID, IN, KS, KY, LA, ME, MO, MS, MT, ND, NE, NM, OH, OK, PA, SC, SD, TN, UT, VT, WI, WV, WY - $88,860 - $118,480 in these states: CO, HI, MI, MN, NC, NH, NV, OR, RI - $93,092 - $124,122 in these states: AK, CA, CT, DC, DE, IL, MA, MD, NJ, NY, TX, VA, WA Benefits - Comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks. - Enhances your physical, mental, emotional and financial wellbeing.

Role Description As a Forward Deployed Engineer, you'll be a post-sale, client-facing software engineer implementing AI solutions directly on each client's tech stack. You'll be paired with an AI strategist who owns relationship management and status updates, freeing you to focus on building, presenting, and shipping real solutions alongside the client. This is a high-agency, high-upside role at an early and rapidly scaling company. You'll work across a range of tech stacks depending on the client, take on meaningful autonomy from day one, and grow into expanded scope over time, with clear paths toward senior engineering titles and engineering management as the team scales. Responsibilities - Build, implement, and present AI solutions on clients' existing tech stacks in a post-sale, client-facing capacity - Partner closely with an AI strategist who manages the client relationship, while you own the technical build and delivery - Ship production software across the full stack in a collaborative team environment - Lead technical initiatives and operate with a high degree of autonomy - Occasionally support pre-sale scoping when needed (not a standard expectation) - Travel to client sites roughly 1-2 times per month as required Qualifications - 3-8 years of software engineering experience - Strong full-stack engineer comfortable shipping production software in a team - Demonstrated experience designing, developing, and maintaining web applications and agentic applications - Track record of leading technical initiatives and operating independently - Client-facing experience strongly preferred and used as a differentiator among comparable candidates - Backgrounds as a former founder, CTO, or founding engineer of a startup are highly valued, as is experience running an engineering-led AI consulting effort - Computer science or engineering education is a plus - Comfortable with an in-person, fast-paced environment and a willingness to put in effort beyond a standard week Requirements - 3-8 years of software engineering experience - Strong full-stack engineer comfortable shipping production software in a team - Demonstrated experience designing, developing, and maintaining web applications and agentic applications - Track record of leading technical initiatives and operating independently - Client-facing experience strongly preferred and used as a differentiator among comparable candidates - Backgrounds as a former founder, CTO, or founding engineer of a startup are highly valued, as is experience running an engineering-led AI consulting effort - Computer science or engineering education is a plus - Comfortable with an in-person, fast-paced environment and a willingness to put in effort beyond a standard week Benefits - Compensation: $180K base, up to $500K+ OTE