Full-Time
Principal Product Applications Engineer
Custom Solutions
Updated on 8/22/2026
Astera Labs
1,001-5,000 employees
Semiconductor connectivity solutions for cloud AI
Compensation Overview
$205k - $260k/yr
San Jose, CA, USA
In Person
Travel to customer sites is required as needed.
Bachelor's, Master's
 Hardware Engineering (1) |
|---|
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- A Bachelor of Science or Master of Science degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline.
- At least 10 years of experience in Product Applications Engineering, Systems Engineering, Customer Engineering, Field Applications Engineering, or a related customer-facing semiconductor role.
- Experience supporting advanced semiconductor or custom silicon products from architecture through production.
- Strong understanding of high-speed interconnect technologies, including Ethernet through 800G, PCIe, PAM4, SerDes, DSPs, DAC, AEC, ACC, AOC, and related hardware technologies.
- Experience with silicon bring-up, post-silicon validation, and system-level debugging.
- Strong Linux debugging and troubleshooting experience.
- Experience writing Python or C/C++ scripts for automation, diagnostics, firmware validation, or lab workflows.
- Proven experience working directly with hyperscalers, AI labs, and infrastructure partners.
- Excellent communication, presentation, and technical leadership skills.
- Serve as the primary technical interface for strategic customer programs.
- Develop trusted technical relationships with customer engineering teams and become a key advisor throughout the product lifecycle.
- Support customer engagements from architecture discussions through silicon bring-up, validation, production, and deployment.
- Lead complex customer debug efforts involving hardware, firmware, software, and system-level integration.
- Translate customer requirements, deployment challenges, and architecture feedback into actionable engineering requirements.
- Collaborate closely with Product Management, Architecture, ASIC Design, Firmware, Validation, and Software Engineering to drive customer success.
- Influence future silicon products by providing customer insights and technical feedback to engineering teams.
- Support customer design reviews, architecture discussions, technical training, and executive-level technical engagements.
- Develop technical collateral, application notes, reference designs, troubleshooting guides, and customer documentation.
- Support technical escalations and drive issues to resolution across cross-functional engineering teams.
- Develop automation and diagnostic tools using Python or C/C++ to improve engineering efficiency and customer support.
- Travel to customer sites as needed to support key design wins and strategic engagements.
- Experience supporting AI infrastructure platforms or high-performance computing systems.
- Familiarity with custom ASIC development and customer-specific silicon solutions.
- Experience with firmware, embedded software, or FPGA validation.
- Understanding of networking, storage, memory, or accelerator architectures.
- Experience creating customer-facing technical documentation, training materials, and application notes.
- Experience supporting executive customer reviews and technical design discussions.
Astera Labs provides semiconductor-based connectivity solutions to boost cloud and AI infrastructure. Its products include PCIe, CXL, and Ethernet connectivity ICs and adapters that enable high-speed data transfer between processors, memory, and accelerators. These solutions help alleviate the memory wall by improving memory and I/O bandwidth, enabling faster communication within data centers supporting Generative AI workloads. The company differentiates itself by specializing in memory-centric, high-speed interconnects for cloud AI architectures and by targeting data centers and AI infrastructure customers with a portfolio of PCIe, CXL, and Ethernet products, rather than broad consumer-focused offerings. Astera Labs aims to expand its leadership in the global cloud AI market through continued development and deployment of its connectivity solutions, growing its market share and partnerships in data centers and AI workloads.
Company Size
1,001-5,000
Company Stage
IPO
Headquarters
Santa Clara, California
Founded
2017
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Simplify's Take
What believers are saying
- Q2 2026 revenue hit $392.4 million, up 104% year over year.
- Q3 2026 guidance reaches $540 million-$560 million from Scorpio and PCIe 6 demand.
- Amazon's February 2026 warrant validates demand for up to $6.5 billion.
What critics are saying
- Q2 2026 filing says one customer supplied 29% of revenue, crushing pricing power.
- Revenue still concentrates in China, Singapore, and Taiwan, exposing export-control shocks.
- TSMC sole foundry plus OSAT dependence creates an existential supply-chain choke point.
What makes Astera Labs unique
- July 2026 Taurus 3.2T retimers/redrivers use standard footprints for 200G-per-lane Ethernet.
- August 2026 Scorpio X-Series volume production makes Astera a rack-scale AI fabric supplier.
- COSMOS software and HyperCast telemetry bind retimers, switches, and modules into one stack.
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Benefits
401(k) Retirement Plan
Flexible Work Hours
Growth & Insights and Company News
6 month growth
↓ -6%1 year growth
↓ -12%2 year growth
↓ -9%Astera Labs announced its second-quarter 2026 earnings, revealing an accelerated production timeline for Scorpio fabric switches and strong sequential growth. The company guided third-quarter revenues to $540–$560 million, representing 40% sequential growth, driven by Scorpio X-Series volume production. Second-quarter revenues rose 27% sequentially and 104% year-over-year to $392.4 million. Non-GAAP earnings of 80 cents per share beat consensus estimates of 69 cents. Chief executive officer Jitendra Mohan said PCIe 6 products generated more than half of total revenue, up from one-third in the first quarter. Non-GAAP gross margin reached 73.7%, whilst operating margin hit 39.1%. For the third quarter, the company expects gross margin of approximately 72% and operating margin of roughly 43%.
Astera Labs reported second-quarter earnings of $0.80 per share, exceeding the Zacks Consensus Estimate of $0.69 per share and marking a 15.94% earnings surprise. This compares to earnings of $0.44 per share in the same quarter last year. The company posted revenues of $392.4 million for the quarter ended June 2026, surpassing the consensus estimate by 8.93%. Year-ago revenues were $191.93 million. Astera Labs has topped consensus revenue estimates four times over the last four quarters. Shares have risen approximately 93% since the beginning of the year, compared to the S&P 500's 11% gain. The company currently holds a Zacks Rank of 3 (Hold), suggesting shares are expected to perform in line with the market in the near future.
Astera Labs reported record second-quarter revenue of $392.4 million, up 104% year over year, driven by strong demand for AI infrastructure connectivity products. PCIe 6.0 products accounted for over half of total sales, up from roughly one-third in the previous quarter. Non-GAAP earnings per share rose to $0.80, whilst gross margin reached 73.7%. The company's Scorpio X-Series fabric switches entered volume production and are expected to become Astera's largest product family by revenue in the third quarter, earlier than previously forecast. Management projects third-quarter revenue between $540 million and $560 million, representing approximately 40% sequential growth. Chief executive Jitendra Mohan attributed the growth to continued spending by hyperscalers, sovereign AI initiatives, and expanding enterprise adoption. The company is also developing optical-connectivity products targeted for volume production beginning in 2027.
Astera Labs stock shoots higher after Q2 earnings - Here's why. Stock score locked: want to see it? Benzinga Rankings give you vital metrics on any stock - anytime. Astera Labs Inc. (NASDAQ:ALAB) posted its second-quarter results after Tuesday's closing bell, beating analyst estimates on the top and bottom lines. Here's a look at the details inside the report. Latest Private Market Opportunities Join 400,000+ Investors This Coal-to-Hydrogen Energy Company Lets Investors Buy In at $9.01/Share Frontieras raised $30M+ from 12,000+ investors and broke ground on its $850M WV facility. Its patented tech reforms coal into hydrogen. Invest at $9.01/share. Join 44,000+ Investors Backing AI-Powered Restaurant Robotics at $5.48/Share Miso's Flippy AI robot has fried 5M+ food baskets for brands like White Castle. Now over 44,000 shareholders are in. Investors can buy shares at $5.48. Astera Labs Q2 details. Astera Labs reported quarterly adjusted earnings of 80 cents per share, which beat the Street's 69 cent estimate, according to Benzinga Pro data. Quarterly revenue came in at $392.4 million, which beat the consensus estimate of $360.72 million. Non-GAAP gross margin was 73.7%, and non-GAAP operating margin was 39.1% for the quarter. "Astera Labs delivered outstanding Q2 2026 results, with record revenue of $392.4 million, up 27% sequentially and 104% year-over-year, driven by broad-based strength across our portfolio, including record quarterly revenue for our Aries product line," said Jitendra Mohan, Astera Labs' CEO. ALAB Stock Price Activity: According to data from Benzinga Pro, Astera Labs stock was up 5.07% to $380.01 in Tuesday's extended trading. Posted In:
Jim Cramer has reversed his stance on Astera Labs, telling investors to "buy, buy, buy" the stock during CNBC's "Mad Money" on 29 July. The shift is notable because Cramer previously flagged the semiconductor company as too expensive compared to established chip makers like Broadcom. Astera Labs shares fell more than 40% from an all-time high of $499.48 on 30 June to the mid-$200s in late July, caught in a broader selloff of AI stocks. The decline wasn't driven by business fundamentals — first-quarter revenue rose 93% year over year to $308.4 million. Cramer said the drop reflected market sentiment rather than operational issues. The company reports second-quarter results on 4 August. Astera Labs designs connectivity hardware that moves data between chips in AI data centres.