Tenstorrent is seeking a skilled Engineer to contribute to post-silicon power characterization and correlation activities for cutting-edge semiconductor products. In this role, you will help develop and execute power measurement strategies on silicon, analyze results against pre-silicon models, and support improvements across power architecture, design, and modeling methodologies. You will work closely with design, architecture, validation, and systems teams to help ensure silicon meets power and performance specifications under a range of operating conditions.

This role is hybrid, based out of Toronto, ON.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who you are

• A hands-on engineer with solid experience in silicon power analysis and characterization and a background in EE, CE, or a related field.
• Comfortable learning complex AI SoC architectures and power domains step by step, asking good questions and documenting what you learn.
• Confident in the lab using oscilloscopes, power measurement tools, and basic scripting (e.g., Python or MATLAB) to run and debug measurements.
• A collaborative communicator who enjoys working with senior engineers and turning data into clear updates and proposals.

What we need

• Someone who will immerse in Tenstorrent’s AI SoC and power architecture and ramp on our tools, processes, and teams in the first 60 days.
• An engineer who can run defined power characterization tests, extend existing scripts and automation, and keep results organized and reproducible.
• A partner who helps expand coverage across key workloads and PVT points, and participates in debug for power anomalies with architecture, modeling, and validation.
• A contributor who supports end-to-end power correlation reports, bringing careful measurements and analysis that feed into recommendations and future ownership.

What you will learn

• How Tenstorrent’s AI SoCs behave in real silicon across different workloads, operating conditions, and power domains, and how that ties back to pre-silicon assumptions.
• How our post-silicon infrastructure, lab tools, and automation stack are built, and how to extend them for new products and test scenarios.
• How cross-functional teams (architecture, modeling, validation, systems) collaborate to close power and performance gaps, and where your work fits into their roadmaps.
• How to grow from owning well-defined characterization tasks to driving larger correlation scopes and methodology improvements over time.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent is seeking a highly skilled and experienced Engineer to lead post-silicon power characterization and correlation activities for cutting-edge semiconductor products. In this role, you will be responsible for developing and executing detailed power measurement strategies on silicon, correlating results with pre-silicon models, and driving improvements across power architecture, design, and modeling methodologies. You will serve as a key technical leader, interfacing across design, architecture, validation, and systems teams to ensure silicon meets power and performance specifications under all operating conditions.

This role is hybrid, based out of Toronto, ON or Austin, TX or Santa Clara, CA.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who you are

• A Principal-level engineer with 8+ years in silicon power analysis and characterization, and a Master’s or PhD in EE, CE, or related field.
• Deep understanding of digital and mixed-signal power domains, including DVFS, leakage vs. dynamic power, and power gating.
• Highly proficient in lab-based power measurement using oscilloscopes, current probes, power analyzers, and SMUs, plus Python/Perl/MATLAB for automation and analytics.
• A strong debugger and collaborator, comfortable driving cross-functional investigations and clearly communicating technical findings.

What we need

• Own the post-silicon power measurement strategy end-to-end across operating modes, voltages, frequencies, and workloads.
• Build and maintain lab infrastructure, automated workflows, and data analysis pipelines for high-fidelity, repeatable power characterization.
• Correlate silicon power data to pre-silicon models (RTL, gate-level, sign-off), drive root-cause analysis, and refine power estimation methodologies with design and modeling teams.
• Characterize power across PVT corners and work with bring-up/validation teams to develop test content, debug power anomalies, and ensure products meet power and performance specs.

What you will learn

• How state-of-the-art SoCs behave in real silicon across diverse workloads, system configurations, and operating conditions.
• How to influence power architecture, RTL design, and modeling flows by feeding silicon insights directly back into early design phases.
• Best practices for building scalable, automated post-silicon power infrastructures that support multiple products and generations.
• Advanced correlation, margining, and variability analysis techniques that deepen your expertise in both SoC-level power and system-level behavior.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We are hiring motivated experts in each of these fields. We're looking for someone who is passionate about solving mathematical problems with data, and are excited about working in a fast-paced, innovative and collegial environment.

You will report into a Science Manager.

Responsibilities:

• Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context.
• Perform exploratory data analysis to gain a deeper understanding of the problem
• Construct and fit statistical, machine learning, or optimization models
• Write production modeling code; collaborate with Software Engineers to implement algorithms in production
• Design and run both simulated and live traffic experiments
• Analyze experimental and observational data; communicate findings; facilitate launch decisions

Experience:

• Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields
• 2+ years professional experience in a technology companies
• Passion for solving unstructured and non-standard mathematical problems
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Proficiency with Python, or another interpreted programming language like R or Matlab
• Willingness to collaborate and communicate with others to solve a problem

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan with company match to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

Job Description:

As an Analog/Mixed-Signal IC Design Engineer, you will be part of a key team designing sophisticated advanced node CMOS products. Your responsibilities will include developing and verifying circuits such as PLL, DLL, ADC, regulators, amplifiers, TX, RX, and CDRs to meet performance targets. You will also work on analog and clocking blocks for connectivity applications, using industry-standard tools like Spectre and MATLAB. The company seeks a highly motivated designer for this role

Basic Qualifications:

• Strong academic and technical background in electrical engineering. A Master’s or PhD degree in EE is required, preferably from a top-tier university.
• 2+ years of experience supporting or developing complex analog IC designs.

Required Experience:

• Hands-on experience in designing high-speed mixed-signal circuits including ADC/DAC data converters, RX front-end, TX driver/serializer, low-jitter PLLs, TX/RX calibration, low-jitter CLK distribution are other high-speed analog circuits is a must
• Have a deep understanding of biasing, band-gaps, reference circuits, opamps, comparators and other analog circuits
• Solid track-record for implementation of analog circuits high-speed data transmission.
• Design and tapeout experience in advanced CMOS nodes (ex. 20nm or newer) is a must
• Solid fundamentals in detailed transistor-level design, feedback/stability analysis, and noise/jitter analysis.
• Knowledge of TIA design and drivers for optical applications is highly desirable
• Experience in RFIC design for wireless or wireline communication systems is highly desirable.
• Strong technical independent contributor with a proven ability to drive results.
• Excellent teamwork, presentation, and documentation skills.
• Ability to collaborate with global teams across multiple time zones and deliver under pressure with strict deadlines.
• Strong experience in lab chip bring-up and debugging efforts.

Preferred Experience:

• Relevant research publications and/or patents in analog or RF IC design.
• Familiarity in programming/scripting languages such as Python, Matlab, or C.
• Experience with PCB design.
• Familiarity with Verilog RTL or DSP design concepts.
• Knowledge of optical transceivers.
• Expertise in ESD protection techniques and IC packaging methodologies.

The base salary range is $150,000.00 USD – $200,000.00 USD.

The base salary range for this role in Canada is $110,000 CAD - $130,000 CAD

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.  

Job Description:

As an Analog/Mixed-Signal IC Design Engineer, you will be part of a key team designing sophisticated advanced node CMOS products. Your responsibilities will include developing and verifying circuits such as PLL, DLL, ADC, regulators, amplifiers, TX, RX, and CDRs to meet performance targets. You will also work on analog and clocking blocks for connectivity applications, using industry-standard tools like Spectre and MATLAB. The company seeks a highly motivated designer for this role

Basic Qualifications:

• Strong academic and technical background in electrical engineering. A Master’s or PhD degree in EE is required, preferably from a top-tier university.
• 8+ years of experience supporting or developing complex analog IC designs.

Required Experience:

• Hands-on experience in designing high-speed mixed-signal circuits including ADC/DAC data converters, RX front-end, TX driver/serializer, low-jitter PLLs, TX/RX calibration, low-jitter CLK distribution are other high-speed analog circuits is a must
• Have a deep understanding of biasing, band-gaps, reference circuits, opamps, comparators and other analog circuits
• Solid track-record for implementation of analog circuits high-speed data transmission.
• Design and tape out experience in advanced CMOS nodes (ex. 7nm, 5nm 3nmFinFET) is a must.
• Solid fundamentals in detailed transistor-level design, feedback/stability analysis, and noise/jitter analysis.
• Knowledge of TIA design and drivers for optical applications is highly desirable
• Experience in RFIC design for wireless or wireline communication systems is highly desirable.
• Strong technical independent contributor with a proven ability to drive results.
• Excellent teamwork, presentation, and documentation skills.
• Ability to collaborate with global teams across multiple time zones and deliver under pressure with strict deadlines.
• Strong experience in lab chip bring-up and debugging efforts.

Preferred Experience:

• Relevant research publications and/or patents in analog or RF IC design.
• Familiarity in programming/scripting languages such as Python, Matlab, or C.
• Experience with PCB design.
• Familiarity with Verilog RTL or DSP design concepts.
• Knowledge of optical transceivers.
• Expertise in ESD protection techniques and IC packaging methodologies.

 Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

What we do

Darkhorse Analytics is an Edmonton-based consulting firm specializing in predictive analytics and data visualization. Our visualization team is internationally recognized for building custom interactive visualizations with a focus on impact and clarity. But our company first began with Darkhorse Emergency. 

Darkhorse Emergency provides software and custom analytics for fire, EMS and police services to make data-driven decisions and better serve their communities. What began as a loose collection of Excel spreadsheets and Ph.D. thesis Matlab code has evolved into an ecosystem of database-driven web apps and best practices. We are now a fast-growing SaaS company working with clients to provide them with bespoke software and advisory services. 

Darkhorse exists for two purposes: to create an impact on our clients and the community we live in, and to grow our team members. Whether you stay with us for a year or your entire career, you leave us better than you arrived, and you will make a difference here. We can't wait to see what you'll achieve. 

What you’ll be doing 

Work at Darkhorse Emergency is diverse and ever-changing. We implement our proprietary software and solve interesting and challenging business problems for a wide variety of fire and emergency clients. Every client is different. The interpretation of their data and unique needs requires strong analytical skills. 

You will work to understand our clients' data and bring it into our proprietary software and provide them with an in-depth analysis that highlights root causes and opportunities. You will work with a team of analysts and take part in the project life cycle from start to finish, including:

• Gathering and interpreting Fire and EMS data. Our data can come from different sources, including client tools and open databases, as well as flat files. Bringing data together in our databases will be a big part of what you do here. 
• Data cleaning and summary analysis. ​Data is rarely what you want it to be. Cleaning and understanding your inputs are the first required step in any quantitative project.
• Implementing our Darkhorse Emergency Platform. Matching clients’ unique data to the fields required for our platform is a crucial step, and requires business context as well as technical savvy. 
• Validating findings and stories in the data. Do your findings pass the smell check? A mix of experience, expertise and creativity is required to validate your findings and distinguish the right signals from data errors. 
• Creating stunning data visualizations. Using tools like QGIS, Jupyter Notebooks or even Excel, you will work with the data to create visually engaging visualizations and maps to clarify our findings.
• Creating succinct presentations and reports. Often times our analyses need to be translated into a report that is readable, actionable, and isn’t going to collect dust on the shelf. We believe less is more, and we take the time to make it succinct.
• Translating client needs into achievable solutions. ​Using your understanding of the industry and the client’s unique challenges, you will provide our clients with actionable recommendations. Understanding our clients means that we can confidently approach their business problems.
• Brainstorming creative approaches. ​Theory and practice never align, so creativity is a must in planning a solution.
• Improving our tools and processes. As a growing company, we must continually search for the better way. We expect you to spend a good portion of your time on improving processes.
• Maintaining client relationships. As a SaaS company, You will become the trusted go-to person for our clients .

What we look for

We believe the right person is not defined by years of experience or education. We look for the right people at all levels of their career. Here are some of the things that will make you stand out: 

• You are a quick learner. The tools we will use next year have not been invented yet. People thriving on continuously learning and growing do well here. 
• You are a wizard with data, and comfortable using some combination of Excel, SQL, and Python. You ideally have some experience using GIS tools like QGIS to visualize data geographically.
• You genuinely enjoy problem-solving and finding patterns. The harder the challenge, the harder it is to put it down until you crack it.
• You keep pushing the boundaries with AI. We believe AI is a step change technology that can differentiate us, the early adopters of the newest tools excel here. 
• You enjoy working with clients, learning about their values and challenges, and use our tools to make a difference. 
• You are able to focus on the most critical parts. In a haystack of data, you are able to find the needle that can pinpoint issues or root causes. 
• You can communicate well. Having the correct analytical solution is one thing, but you should also be able to develop your solution methodically and explain the whole thing to your grandmother in the end.
• You are motivated and comfortable immersing yourself in data and understanding the message behind it. You can be skeptical about your findings if they don’t seem correct. You’re detail-oriented but can see the big picture.
• You are creative in your ways of interpreting and analyzing the data. When one avenue leads to a dead-end, you can use different data sources to come to an outcome that satisfies the business need.
• You share our values

Ideally:

• You have experience with the Fire and Emergency Management industry, and are familiar with municipal datasets, city planning, land use zoning, etc. A strong desire to learn is also acceptable. 

What we offer

• Competitive salaries within a transparent salary environment
• Competitive benefits and a growth-sharing program
• Unlimited vacation
  
• Flexible working conditions; remote or in-person in Edmonton
• Unlimited career opportunities in a high-growth company
• The ability to make an impact and do work that matters

We look forward to hearing from you!